Podcasts about microsoft power bi

Welcome to the CanadianSME Small Business Podcast, hosted by Maheen! In today's episode, we explore the power of custom software, the potential of Microsoft's Power Platform, and AI in driving business innovation. We're joined by Dan Carmichael, President of Whitecap Canada, a premier provider of custom and platform software solutions. With over 27 years of experience in the tech industry, Dan shares his expertise in leveraging custom solutions for competitive advantage and operational efficiency.Dan discusses the unique advantages of custom software in a SaaS-dominated world, how businesses can use Microsoft Power BI, Power Apps, Power Automate, and AI to drive innovation, and lessons learned from over two decades of building successful tech solutions. He also shares a powerful example of Whitecap's impactful work with the Canadian Cancer Society.Key Highlights:Custom Software in a SaaS World: Why custom solutions are still a valuable investment for businesses.Leveraging Microsoft's Power Platform & AI: How businesses can use Power BI, Power Apps, and Power Automate to innovate and enhance operations.Lessons from 25+ Years in Tech: Insights and experiences from over two decades of delivering successful technology projects.Impactful Project with the Canadian Cancer Society: How Whitecap's tech solutions made a difference for the organization.Microsoft Solutions Partner Achievement: What Whitecap's recent recognition means for their clients and the company's future.Special Thanks to Our Partners:RBC: https://www.rbcroyalbank.com/dms/business/accounts/beyond-banking/index.htmlUPS: https://solutions.ups.com/ca-beunstoppable.html?WT.mc_id=BUSMEWAIHG Hotels and Resorts: https://businessedge.ihg.com/s/registration?language=en_US&CanSMEGoogle: https://www.google.ca/For more expert insights, visit www.canadiansme.ca and subscribe to the CanadianSME Small Business Magazine. Stay innovative, stay informed, and thrive in the digital age!Disclaimer: The information shared in this podcast is for general informational purposes only and should not be considered as direct financial or business advice. Always consult with a qualified professional for advice specific to your situation.

Jessy Hanzo est l'ex-Head of Data & Digital à l'Olympique de Marseille, le club de foot emblématique.On aborde :

"KI in der Elektrotechnik – Sicher, effizient, revolutionär“ mit Dirk Peters   Das KI-Summit Germany 2025 bietet am 31. Januar und 1. Februar die perfekte Gelegenheit, neue Impulse und wertvolle Kontakte zu gewinnen. Im inspirierenden Ambiente des Güterbahnhofs in Bad Homburg treffen Vordenker und Visionäre aufeinander, um die Zukunft der KI gemeinsam zu gestalten. Freu Dich auf ein abwechslungsreiches Programm mit spannenden Keynotes, praxisorientierten Workshops und einzigartigen Networking-Möglichkeiten. Sichere Dir jetzt Dein Ticket und werde Teil dieses richtungsweisenden Events! Dirk, 60 Jahre jung und aus Köln, ist Experte für Elektrotechnik und unterstützt Unternehmen dabei, ihre elektrotechnischen Systeme rechtskonform, sicher und organisatorisch sauber aufzusetzen. Sein Ziel: Unternehmern ermöglichen, gut zu schlafen, indem sie Risiken und Gefahren in ihrer Elektrotechnik minimieren. Er kombiniert dabei innovative KI-Technologien, um Effizienz und Sicherheit zu steigern. Besonders fokussiert er sich darauf, das enorme Potenzial von KI in der Elektrotechnik zu nutzen, ein Bereich, der bisher noch nicht vollständig erschlossen wurde. Dirk Peters auf LinkedIn: LinkedIn - https://www.linkedin.com/in/drdirkpeters/ KI-Summit Germany 2025: Hier anmelden - www.ki-summit-germany.de/   Was sind die Kerninhalte seines Impulsvortrags? Dirk beleuchtet, wie KI effektiv zur Verarbeitung großer Datenmengen in der Elektrotechnik eingesetzt werden kann. Sein Vortrag vergleicht verschiedene KI-Lösungen, darunter:   Wortbasierte Tools wie ChatGPT Spezialisierte Lösungen wie Microsoft Power BI oder Excel mit Co-Pilot-Unterstützung.   Er zeigt praxisnah, wie zuverlässig KI heute schon bei der Auswertung umfangreicher Datensätze ist und welche Fortschritte bereits erzielt wurden. Dabei erklärt er, wo die Grenzen aktueller KI-Tools liegen und was zukünftig noch zu erwarten ist.   Was ist das Besondere an seinem Impulsvortrag? Dirks Vortrag hebt sich durch seinen Fokus auf die Zuverlässigkeit von KI bei der Verarbeitung großer Datenmengen ab. Gerade in der Elektrotechnik, wo Präzision lebenswichtig ist, dürfen Fehler oder sogenannte „Halluzinationen“ der KI nicht vorkommen. Dirk zeigt konkret, wie KI heute schon sicher genutzt werden kann, ohne dass hohe Investitionen erforderlich sind. Seine fundierten Einblicke bieten den Teilnehmern Orientierung, wie KI als unterstützendes Werkzeug bei komplexen Datensätzen angewendet werden kann.   Welche Kernbotschaft lässt sich aus dem Vortrag ableiten? „KI und Datenverarbeitung gehören zusammen und können bereits heute effizient und zuverlässig kombiniert werden.“ Dirk vermittelt, dass KI in der Elektrotechnik das Potenzial hat, revolutionäre Veränderungen herbeizuführen – vorausgesetzt, die Technologien werden präzise und mit Bedacht eingesetzt.     Noch mehr von den Koertings ...  Das KI-Café ... jede Woche Mittwoch (>300 Teilnehmer) von 08:30 bis 10:00 Uhr ... online via Zoom .. kostenlos und nicht umsonstJede Woche Mittwoch um 08:30 Uhr öffnet das KI-Café seine Online-Pforten ... wir lösen KI-Anwendungsfälle live auf der Bühne ... moderieren Expertenpanel zu speziellen Themen (bspw. KI im Recruiting ... KI in der Qualitätssicherung ... KI im Projektmanagement ... und vieles mehr) ... ordnen die neuen Entwicklungen in der KI-Welt ein und geben einen Ausblick ... und laden Experten ein für spezielle Themen ... und gehen auch mal in die Tiefe und durchdringen bestimmte Bereiche ganz konkret ... alles für dein Weiterkommen. Melde dich kostenfrei an ... www.koerting-institute.com/ki-cafe/   Das KI-Buch ... für Selbstständige und Unternehmer Lerne, wie ChatGPT deine Produktivität steigert, Zeit spart und Umsätze maximiert. Enthält praxisnahe Beispiele für Buchvermarktung, Text- und Datenanalysen sowie 30 konkrete Anwendungsfälle. Entwickle eigene Prompts, verbessere Marketing & Vertrieb und entlaste dich von Routineaufgaben. Geschrieben von Torsten & Birgit Koerting, Vorreitern im KI-Bereich, die Unternehmer bei der Transformation unterstützen. Das Buch ist ein Geschenk, nur Versandkosten von 6,95 € fallen an. Perfekt für Anfänger und Fortgeschrittene, die mit KI ihr Potenzial ausschöpfen möchten. Das Buch in deinen Briefkasten ... www.koerting-institute.com/ki-buch/   Die KI-Lounge ... unsere Community für den Einstieg in die KI (>1000 Mitglieder) Die KI-Lounge ist eine Community für alle, die mehr über generative KI erfahren und anwenden möchten. Mitglieder erhalten exklusive monatliche KI-Updates, Experten-Interviews, Vorträge des KI-Speaker-Slams, KI-Café-Aufzeichnungen und einen 3-stündigen ChatGPT-Kurs. Tausche dich mit über 1000 KI-Enthusiasten aus, stelle Fragen und starte durch. Initiiert von Torsten & Birgit Koerting, bietet die KI-Lounge Orientierung und Inspiration für den Einstieg in die KI-Revolution. Hier findet der Austausch statt ... www.koerting-institute.com/ki-lounge/   Starte mit uns in die 1:1 Zusammenarbeit Wenn du direkt mit uns arbeiten und KI in deinem Business integrieren möchtest, buche dir einen Termin für ein persönliches Gespräch. Gemeinsam finden wir Antworten auf deine Fragen und finden heraus, wie wir dich unterstützen können. Klicke hier, um einen Termin zu buchen und deine Fragen zu klären. Buche dir jetzt deinen Termin mit uns ... www.koerting-institute.com/termin/   Weitere Impulse im Netflix Stil ... Wenn du auf der Suche nach weiteren spannenden Impulsen für deine Selbstständigkeit bist, dann gehe jetzt auf unsere Impulseseite und lass die zahlreichen spannenden Impulse auf dich wirken. Inspiration pur ... www.koerting-institute.com/impulse/   Die Koertings auf die Ohren ... Wenn dir diese Podcastfolge gefallen hat, dann höre dir jetzt noch weitere informative und spannende Folgen an ... über 370 Folgen findest du hier ... www.koerting-institute.com/podcast/   Wir freuen uns darauf, dich auf deinem Weg zu begleiten!

I denne episode deler Skamol deres erfaring med implementering af Microsoft Power BI og de mange fordele, det har givet virksomheden. Alice Merrild, Arrow, Lorenz Petersen, 9Altitudes og Camilla Kjærgaard fra Skamols finansafdeling dykker ned i implementeringsprocessen og de mange muligheder, Power BI har åbnet op for. Hør blandt andet om:

Forestil dig, at du sidder med data fra hele din virksomhed. Salgstal, marketinganalyser og økonomiske prognoser. Alt skal samles for at give et klart overblik, men Excel kan hurtigt blive en flaskehals. Og her kommer Power BI ind i billedet. Microsoft Power BI kan forvandle komplekse data til letforståelige indsigter på få minutter. Men hvordan kommer du i gang? Det taler vi om i dagens afsnit. Gæst: Jørgen Koch Vært Anette Lilleøre Kontakt TI Pod på mail: kurser@teknologisk.dk eller læs mere på teknologisk.dk/podcast

Microsoft Power BI is a sophisticated business analytics tool that uses interactive visuals and strong intelligence features to transform unprocessed data into insights that can be used. By offering a broad range of analysis, visualization, and reporting choices, it is intended to assist organizations in making well-informed decisions based on data.

In this episode we dive into project dashboards. The Challenge You've been brought in at a large scale general contractor and they've asked you to set up a Microsoft Power BI dashboard. How do you do it? Continue Learning Follow Mathew Spuffard on LinkedIn. Go to the Base1 website. Check out our new book The Critical Path Career: How to Advance in Construction Planning and Scheduling Subscribe to the Beyond Deadlines Email Newsletter Subscribe to the ⁠⁠⁠⁠Beyond Deadlines⁠⁠⁠⁠ Linkedin Newsletter ⁠⁠Check Out Our YouTube Channel⁠⁠. Connect Follow ⁠⁠⁠Micah⁠⁠⁠, ⁠⁠⁠Greg⁠⁠⁠, and ⁠⁠Beyond Deadlines⁠⁠ on LinkedIn. Beyond Deadline It's time to raise your career to new heights with Beyond Deadlines, the ultimate destination for construction planners and schedulers. Our podcast is designed to be your go-to guide whether you're starting out in this dynamic field, transitioning from another sector, or you're a seasoned professional. Through our cutting-edge content, practical advice, and innovative tools, we help you succeed in today's fast-evolving construction planning and scheduling landscape without relying on expensive certifications and traditional educational paths. Join us on Beyond Deadlines, where we empower you to shape the future of construction planning and scheduling, making it more efficient, effective, and accessible than ever before. About Micah Micah, an Intel project leader and Google alumnus, champions next-gen planning and scheduling at both tech giants. Co-founder of Google's Computer Vision in Construction Team, he's saved projects millions via tech advancements. He writes two construction planning and scheduling newsletters and mentors the next generation of construction planners. He holds a Master of Science in Project Management, Saint Mary's University of Minnesota. About Greg Greg, an Astrophysicist turned project guru, managed £100M+ defense programs at BAE Systems (UK) and advised on international strategy. Now CEO at ⁠⁠Nodes and Links⁠⁠, he's revolutionizing projects with pioneering AI Project Controls in Construction. Experience groundbreaking strategies with Greg's expertise. Topics We Cover change management, communication, construction planning, construction, construction scheduling, creating teams, critical path method, cpm, culture, KPI, microsoft project, milestone tracking, oracle, p6, project planning, planning, planning engineer, pmp, portfolio management, predictability, presenting, primavera p6, project acceleration, project budgeting, project controls, project management, project planning, program management, resource allocation, risk management, schedule acceleration, scheduling, scope management, task sequencing, construction, construction reporting, prefabrication, preconstruction, modular construction, modularization, automation, Power BI, dashboard, metrics --- Support this podcast: https://podcasters.spotify.com/pod/show/beyonddeadlines/support

Stephen M. Yoss, Jr., is a visionary CPA, a contributor to CPA Trendlines, and the entrepreneurial mind behind CPE Today. Get more Steve Yoss at cpatrendlines.com here: https://cpa.click/steve-yoss Starting his tech journey at age 10, Stephen quickly progressed to establish his own IT company at 13 and began crafting software by 15. He holds a dual degree in Accountancy and International Business from Loyola Marymount, complemented by a Master of Science in Information Systems and Technology with a focus on Geographic Information Systems from Claremont Graduate University.Since 2017, Stephen has been at the helm of CPE Today's parent company, Devmatics LLC. He specializes in developing tailored software solutions, mobile apps, and sophisticated automation systems to solve complex, critical challenges for a variety of clients. His innovative approach to technology was first applied at his family's firm, Yoss & Allen, where he revolutionized their technological infrastructure.As an authoritative speaker and prolific author, Stephen is a powerhouse in professional education, presenting at over 100 events annually and having authored more than 50 CPE courses. His sessions, packed with expertise and actionable insights, cover critical technology topics from cloud computing to preventing data breaches, artificial intelligence, automation, and empowering professionals across the globe.Stephen's expertise in the realm of pyrotechnics is equally impressive. As a licensed pyrotechnician, he's contributed to some of the nation's most memorable fireworks displays, including the Macy's July 4th Spectacular and the Golden Gate Bridge's 75th Anniversary celebrations, the annual Burning Man event, and many other shows around the country. His precision and creativity illuminate the sky, showcasing his dedication to this explosive art form.When he's not developing software, enlightening professionals, or lighting up the sky with fireworks, Stephen indulges in his passions for music, community service, and the great outdoors. His commitment to community and adventure is evident, whether he's at Burning Man or volunteering in his hometown of Big Bear Lake, CA.Dive deeper into Stephen's blend of technological innovation, educational contribution, and pyrotechnic artistry at https://yoss.io.

The 16:9 PODCAST IS SPONSORED BY SCREENFEED – DIGITAL SIGNAGE CONTENT When I asked an industry friend, whose opinions I respect and trust quite a bit, what CMS software he'd looked at and been impressed by, he rattled off a few companies I was expecting to hear about, but also mentioned the platform developed and marketed by a smallish UK company called NowSignage. He'd seen a lot of different options, but these guys he said, had something that was very modern and nimble. I finally got my act together and scheduled a chat with founder Nick Johnson. Now's roots are in pushing social media messaging to big screens at live events - like concerts and big games. Requests started evolving, both in terms of what could be done with screens and how long they'd be used - which led in part to him concluding the future business was in permanent installations and revenue that was recurring and predictable, versus periodic. Now markets its product as being affordable and not focused on a particular market segment, like QSR, workplace or whatever. That generalist approach tends to worry me, because buyer decisions tend to get focused on price, as in who costs the least. But in my chat with Johnson, he explains that their market focus is on what he calls multi-screen management - networks with a lot of locations and a lot of screens. Most companies would also say they want that and do that, but as Johnson explains in our chat, that's easy to talk about, but much harder to do well. I also had to ask about the Frankenstein'd Rolls-Royce that was the eye candy for the NowSignage stand at ISE in Barcelona. Subscribe from wherever you pick up new podcasts. TRANSCRIPT Nick, thank you for joining me. I know NowSignage reasonably well. I suspect a lot of other people do as well, but could you maybe just give me a rundown on the background of the company, what it is you do, what's distinct, that sort of thing?  Nick Johnson: Yeah, sure. Cheers for having me on, Dave. And, yeah, nice to be here. Yeah, so NowSignage, for those who don't know who we are, is a UK-based business that has been around since 2013. A lot of people thought we launched a market and were in a big whirlwind storm about six years ago, but actually, the tech has been being developed since 2013 now, and then we really honed in on the permanent signage market around seven or eight years ago, really. In terms of signage, we position ourselves as a multi-screen management platform that allows our users to effectively and efficiently manage large networks of screens. So, we don't really focus on a specific vertical specialism. So, with IE, we're not a specific sector, like a corporate sector outright or anything like that. Our specialism is really around meeting the needs and demands of projects that have multiple screens, often in multiple locations or multiple sites, so those large-volume projects are our specialism.  Now, I would imagine most software companies would say: we can fully support large enterprise level, big footprint projects across multiple locations and all that, so that doesn't immediately hit me as a distinction, but I'm guessing you're going to tell me that it's easier said than done?  Nick Johnson: Exactly. So normally, as you say, with CMSs, and we found it ourselves in the early days, we had an eye on those bigger projects, but in reality, as soon as it got above 50 screens, that becomes a challenge for a CMS. It's got a different thought process that needs to go into the CMS from an intuitive nature, but also, your platform needs to be built to kind of balance those enterprise features alongside the simplicity, flexibility, and scalability of the platform.  So yeah, there are some nuances that, for sure, where if you want to manage those large scale projects, you really need to nail the ability to make it as easy as possible for those end users to target specific screens with specific promotions or specific content and that's quite a powerful and hard to achieve thing within a CMS. It's all about bringing those features to enable that functionality.  So, if I'm an end user or even a reseller integrator looking at different options out there, what's my sniff test (or smell test) to determine who can genuinely support large-scale networks like that?  Is it data integration, you know, is it elasticity, at the server level? What are those things?  Nick Johnson: Yeah, both of those, obviously, come into consideration. The way we position our product is that we ultimately want it to be self managed by the user. So if it can't be easy to be managed by the user, then you've got a problem, and to make it easy to be managed by the user, you do need those features in the platform like very advanced targeted tags or roles and permissions for locking down areas of the platform. The targeted tags will allow people to target localized stores with localized messages based on the tagging functionality. I'd probably say the most important thing is just giving that flexibility throughout the platform. You can't say that all scheduling has to be done in the scheduling area. You need to be more flexible on that. So in the NowSignage CMS, we enable certain degrees of different types of scheduling to happen, whether it's in the content area, the actual playlist area, the scheduling area, and even at the screen's level, there are different types of tools that you can use to meet the requirements of the customer.  So, it's not always one size fits all. You have to go to that customer and say, look, we've got this feature set here that makes it easy to manage large networks. What's your specific requirement here? And we may turn around and go, great. You want to use our targeted tags and our override functionality, or we might say you want to use nested playlists and the ability to set assets to show and remove at set dates and times. So, it's giving that broader flexibility within the CMS to adapt to their needs.  I'm curious as well about the whole idea of affordability. It's one of the things that comes across on your site pretty quickly that you talk about it being cost effective and affordable. But it's also pretty sophisticated, like a lot of the platforms that say they're affordable, it's because, they do the basics.  Nick Johnson: Yeah, and I'm glad you used the word affordable there because I don't like the word cheap. So, for us, it's not a race to the bottom. We're not about being the cheapest. We're about being what you get out of our package, which is the most affordable. It's the most cost-effective. So you get the most amount of performance out of our platform for the cost and ratio. So yeah, it's all about affordability. So, with the platform, we don't charge for add-ons within the platform.  When you get access to NowSignage, you get access to all our features and functionality, and you even get access to them as we roll out new features and functionality; they become free for all end users to use. So that's why we appeal, as I said at the start there, we don't really have a sector specialism; we focus on the type of customer that we want to work with, and then often those customers we find because we operate, let's say with lots of supermarkets, a supermarket isn't just a retail requirement in the front of the store. A true requirement for a supermarket is actually they want to centralize that CMS and they have a retail requirement. They have a retail media network requirement. They have a digital out-of-home requirement. They have a back office requirement. They have a factory and manufacturing plant requirement. So all of these requirements are completely different, and the NowSignage platform allows those users to pull on different features and functionalities in the platform. So they may in their manufacturing plant use our Microsoft Power BI integration for showing dispatch information and fleet management, whereas in the retail media network, they might be using our proof of play functionality, which, as you've alluded to, is very much an enterprise feature and it normally very often doubles the cost of a license. We absorb all of those costs, from our servers and so on because we spread that across our whole customer base. So, yeah, it's absolutely the most affordable is how we position ourselves, not the cheapest in the race to the bottom.  Yeah, I've often said that if you're going to be a generalist, that can be a little deadly because you are just competing on price by and large, but what you're saying is, we go across a number of vertical sectors, but we're not really a generalist because our specialty is large, multi-screen networks. Nick Johnson: Yeah, and what you will get with those networks as well, because of the types of brands and customers that you're working with for those projects, it's not really about just selling features and competing on cost for those large networks. Now, obviously, they will be price-driven because often they go out to tender, so you do need the ability to really come down on your price, which we have that capability to do so we can be very competitive on price, but equally, what the brands wanna see is they really want to build a partnership with that CMS to get confidence from you that you are advising them on how to structure their account to maximize the usage of your platform, to meet their goals and of what they require from the network. So if you can communicate and instill that confidence, I think that's really where you find the winning edge to things.  You also, as a company, say that your hardware is agnostic. I have seen all kinds of companies go down that path, and many of them then almost surrender and come up with their own dedicated player devices.  I don't think it's because they're making extra hardware margin; it's just that they grow wary of trying to support all these different types of hardware, and the much easier path is to just have their own, which they can control because they know the build and everything else. So, how do you manage being agnostic across so many different platforms? Nick Johnson: Yeah, so it's all about getting the feature parity across all those different operating systems. There are so many out there. You've got the standard kind of Android, Windows, Linux, all of those. But then you've got the more proprietary ones with the system on chip, where a lot of them are really using an Android base there but you've got Samsung with Tizen, LG with WebOS, BrightSign with their setup there. So, yeah, we've got one centralized code base, and so I probably can't share too much about that and give our full game away, but yeah, we've got one centralized code base set, which delivers feature parity across all those builds. So when we make a change within the platform, we don't need to make it for seven different builds or ten different builds. We don't have to support lots of builds of the platform, meaning lots of developers. We have one centralized build, and that is built in a way that is then compatible with all operating systems out there. So you may have seen that on our stand at ISE. At ISE, we had three or four BrightSign displays. We had a large video wall that was powered by a Windows player. We had a Sony system on-chip display and a Samsung system on-chip display, and on one setup there via the show Wi-Fi, which is very flaky at times, we managed to achieve perfect screen synchronization across different hardware again, which is quite unusual.  Not only are we offering parity across the hardware, but actually with features like Screen Sync, we can bring all of that together and actually offer the synchronization to take into account those different processing powers and speeds and so on. Does that mean if you inherit a network and you're then going to expand on it and it has multiple different operating systems on different devices and so on, you can manage them all off of your application without having something in the middle, like Signage OS or whatever? Nick Johnson: Absolutely, and I think that's what's so important with the types of customers that we're onboarding is that they will have a network that's out there that's got legacy hardware and screens in there, and they're not in a position where they want a huge outlay of cost to go and transform all that hardware over brand new hardware. So because we can sit on a system on a chip, we can sit on the media players, we also work closely with those partners, as you've mentioned, the Signage OS, if there was a requirement there, then we could sit alongside that. But generally, because we have that feature parity and the hardware-agnostic approach, there's no requirement for that additional layer that needs to be added, so it can reduce all the costs and also mean that the network can be rolled out at relative ease and speed as well.  Some of the other software applications out there that say they are hardware agnostic, they're able to do that because it's a somewhat truncated application. It's a web player or something. So yes, you can get content, all the different operating systems or whatever, but it's not a pure player. It can't do everything that a native player could do.  Nick Johnson: Yeah. So, ours is a full application in the way that it's powered. So we are a Chrome OS partner, and we can run through a browser mode or any sort of environment like that where it needs to be embedded into a web page or as a browser player, but yeah, the way our code base packages or fit packages, or everything is its own native application. A few companies have started talking, well, they've been talking about a few things, but one of them is this idea of headless CMS and the idea that, if I have a tool set that I'm already using within a larger company, that's pushing out to web, mobile, intranet, extranet, whatever it may be, they want to use that tool set to also do digital signage as opposed to logging into a separate application. Can you do that sort of thing?  Nick Johnson: So are you referring to embedding us into different environments so that we could be played within an intranet environment?  Probably more so that the development, the scheduling, a lot of what you would do for a digital sign network, you could do within another application, and the digital signage platform is kind of the plumbing, the infrastructure that moves things around. It's kind of the way that Samsung with VXT now is positioning itself as you can write your application on top of our platform.  Nick Johnson: Yeah. So, normally, we operate with a fully open API. So we really want to be the source and the conduit for everything coming into it. So we won't go out there and build some specialist functionality that other platforms already build a lot better than us, like a Microsoft Power BI integration; we wouldn't try and build something like that or a Quividi integration that we've got if we want to do audience measurement with camera systems and so on, we have an API there. So we can pull all of those great features and functionality together and then be the source to output that.  Similar to QSR environments, things like with the API, we sit in harmony with their product systems. So, if they want to do dynamic pricing, we will just be another outlay to them. They will look at the output to all the other different avenues for that pricing, and we will just be a different source that they're inputting into. Then, we'll showcase that dynamic pricing data on the screen. So yeah, we've got an open API, and we're kind of pulling all that data resource into NowSignage. I would imagine the data side of things is super important, the ability to support all that?  Nick Johnson: Yeah, from two angles, really. In terms of the data capacity on our side, we've just gone through a full year's process of improving and upgrading our infrastructure. So, the infrastructure of a CMS is super important. It is arguably what sets a lot of CMSs apart. You've found in recent years that there are certain CMSs that have risen to the top and that they're probably the ones that have invested in their infrastructure, their scalability as a brand, and their security. So, likewise, we've done the same.  Our infrastructure is invaluable to the platform. If we have downtime or anything that's going to impact our size of customers, which isn't acceptable, but also the data that we can then pull together and aggregate to then analyze and give back to the customers inside the platform is obviously crucial as well, and that's probably going to be a big focus for us this year. We already have features like proof of play in the platform that can report on when, where, and how many times an advert is played on the screen, and all of that is live data that comes through. So customers don't need to wait for that data, and we obviously have lots of information about the status of the screens and the uptime status and the ability to kind of set them to go on and off and push our app updates and all of that kind of good stuff. But I think that will be a big push this year to analyze and help our customers understand that data more and more, knowing exactly where their screens are and what's happening with them.  Your company is young enough in relative terms that I suspect you're not saddled with some of the problems that, or challenges that, really well established companies may have in terms of they have a software application that's, they've been building off of for 15-30 years, in some cases, versus what you've got. If you started in 2013 and you kind of emerged a few years after that, you've got a platform that's using modern web tools and everything else, and you're a lot more malleable, I suspect.  Nick Johnson: Exactly, and a lot of the team that I've brought together as well, we're all from completely different sectors, but before that, created and delivered and brought to market a very successful SaaS business there in a completely different sector. So, as I built this business, I brought on a lot of the expertise from the old CTO, and my investor and my business partner are from that background as well. So right at our core, we understand how SaaS businesses and tech need to work. So we're not from a hardware background. We're not interested in the hardware. We're interested in it. How can this software be the most efficient and scalable piece of software and also the most innovative piece of software?  So you're right, probably the timing of it and in the sense that digital signage had kind of become to get a bit more established around that point and knew its place, so we don't have all the legacy burden of the hardware and having to build on and revamp our infrastructure with.  We've managed to build a very clean UI from day one, but also from the experience and background of myself, but also the people that I've built around the team, where we're really focused on SaaS and technology and innovation, that's what we live and breathe every day, really. And the company kind of grew out of, or at least was inspired by, I believe, it was pushing social media to screens at live events. Is that correct?  Nick Johnson: Yeah, let's be honest. It was probably me just having a bit of fun in my mid-twenties at that point. So, yeah, the way it all started was I was working for a company that was a web agency at that point, developing websites. And so my part in that business was that we developed a piece of technology that was embedding social feeds into those websites. So, at the time, just before 2013, I separated that as a separate company and thought, wouldn't it be great if we could get some social content onto screens at events.  This was kind of around the time that the Twitter walls were emerging. So it was right at the early stage of that. So our first ever event was actually at the Olympic stadium, and we were powering the big screens where people were taking Instagram pictures and popping them onto big screens and I couldn't really believe what I'd got into at that point. So, I just enjoyed the ride for a few years. We got shipped around all over the world, doing large events and as we did more of those events, I suppose the platform evolved, which is why the platform is so intuitive and focused just around the software because we kind of started off with that base and then we were doing events where people then wanted to advertise onto the screen. So we had to bring in some advertising capability to show images and videos, and then before we knew it, we started doing some more permanent setups where we needed to bring in that better structure and management and, then, as I say, probably around, I can't remember the exact date now, but it must've been around seven or eight years ago. Just overnight, it was 90 percent of our revenue at the time, I just decided we needed to focus on permanent signage. That was the model that was going to work. That's the sustainable model and the growth model that we wanted. So we kind of just made the ballsy move at that point that we were ditching all of that income, and we focused permanently on permanent digital signage and because we have the background of the platform already, as I say, people were looking at us going, who are these guys who have come to market and we've just kind of won four AV awards in a row. But, actually, it's because the software was there, and we actually just needed to understand what the channel was and what the industry was and that's what we focused on, and we don't sell directly at all. We only sell directly through our resell reseller channel, whether it's a balance of integrators or distributors, and that's how we now go to market.  It's funny, I was talking about that with somebody else yesterday about the channel and the opportunities and challenges of doing that and how difficult it can be to sell direct if you also have channel partners. You're kind of saying that you've got to choose door number one or door number two. You can't go through both.  Nick Johnson: Yeah, and I think it's a fine balance, and I'd say certainly in where we come from, it's always through the channel, but I have seen some variances globally that some people say that the channel in Europe, and then in the US that they're selling direct because they get a big contract and the brand wants to work direct. We've actually just secured a very large project in the US, which is great news for us, but the relationship of that is that we engaged directly and we built trust with the end user and we demonstrated our platform, but now it's come through to a commercial point. We are absolutely funneling that through the channel because that's how you build that trust and that relationship with the channel. So that's now being commercially funnel funneled through one of our channel partners, and then off the back of that. For us, there's no way that we can; we would never do a direct deal because that kind of breaks our whole model of how we're going to market and how we're building trust with our resellers that they're ultimately our partner and our direct customer.  And are you white-labeled and totally behind the curtain, or would the end user know that this is NowSignage as managed by Brand X? Nick Johnson: In almost all circumstances, they will know it's NowSignage. What we don't do is we don't do white labels for our resellers. We want them to proudly shout about it being NowSignage. So everybody at the sales point knows that they are purchasing NowSignage. In some instances, once it then goes through the end user, they go, great, we're now using NowSignage, but actually, we want our staff to log into an environment that feels familiar and friendly to them; at that point, we can white label for the end user, but at no point is it hidden and that it's NowSignage. It's NowSignage all the way and then when the end users dive in, we can white label to an end user requirement.  Yeah, I've always wondered about white labeling. I understand the task and everything, but if you do that as a reseller, there's then an expectation you really know your way around the software, and I suspect that there are a lot of uncomfortable phone calls and meetings.  Nick Johnson: Yeah, and also, I think you get that frustration as well. We've found fortunately that we've managed to secure some of those resellers who have traditionally sold a white-labeled CMS, and the frustrations that they've actually ended up happening is that they get a demand from an end user to say, we need this feature, and we need it right now. Now, it's not their code base. They don't own the IP. They don't own the code. They've got no developers. So, at that point, they have to go back to the CMS and say, can you build this? But I think from a CMS's point of view, that kind of, like, well, you're a white-label solution so you now just need to join the queue of things, whereas with us, we have that open dialogue with the end user and with our reseller. So if a request comes in, it funnels straight to us, and we control that kind of destiny of where those features come in, and we're very transparent with that roadmap to react.  ISE was a couple of months ago. You guys were there when I was walking around. I was expecting to hear a lot more about AI from different software companies. Here's how we're using AI. Here's how we're applying it. Here's the opportunity, and so on.  But maybe it's just early stages, and I just didn't hear much. I'm curious what you guys are doing with it or you're kind of sitting on the sidelines watching it? Nick Johnson: No, we're absolutely not sitting on the sidelines watching it, but to have a go at us, we're not shouting about it as much as we probably should be, and what we've found is that we are doing a huge amount of development in the background with AI. So we've already done some integrations into the platform with AI that haven't been released as full features into the platform. My understanding and the feedback that I'm getting from other CMSs that we talk to and have good relationships with are that AI at the moment; none of the big brands are quite ready to take the first step with it, really. They're all very interested in it, and it's a great opportunity to open a door and start a conversation with them. So we do have AI features built into the platform that can, you can walk up to a screen and tell it what your allergies are, and it can then relay what food is appropriate for you within that store or help you find products within certain aisles or find your preferences. So we're using it as a tool to really open up the door and demonstrate. But in reality, there's not been a huge amount of adoption from it on our side, and I think that it will come, but I think some of the big brands are just waiting for someone to take the first step to see if it goes well, and then there'll be a lot of people to follow, but we're absolutely in that talking point where we've done a lot of AI development. Yeah, I think, as you say, a lot of the work isn't really something that is going to be visible to an end-user or to a channel partner. It's work that helps expedite some basic coding and things, right?  Nick Johnson: Yeah, it's all about bringing in the data and feeding that back to the end user in the cleanest and most efficient manner. So it can become a very powerful tool, where we're seeing it. As I say, a great example would be to walk into a coffee shop and say, “I want something for breakfast, but I've got a nut allergy,” and it can relay all that allergy information and say, this is what we suggest, and if you say, “I don't want anything that has to meat in it,” it will say: here are the vegan options. “Where can I find that?” You can find that on aisle five, it's priced for 99 or whatever it might be. All of that is just pulling live data and using the AI tool to relay that information.  Just going back to ISE, I can't have this conversation without asking about the Rolls Royce. Nick Johnson: Yeah. So we had a lot of interest in a lot of questions about why you have got a Rolls Royce there, but I think that's it Dave. But I think for NowSignage and me, we like to get noticed and it's important to get noticed because it's, at times, a crowded marketplace, and I think you've really got to understand that there's a cost of being dull, and a lot of people waste a lot of energy and get drowned out by all this white noise because everyone's saying the same old, same really. So you've got to really consider what is the cost of being dull. And if you're going to be dull in the events industry, you're going to have an empty stand. You're going to have no pundits on your stand. You're going to be having no conversations. So, it's all about, I think, making people care, making people smile, and surprising them in some way, and if you can hit those three points at any point in any form of marketing, I think you'll get an interest in your sparking debates, really. So, for people who did not go to ISE, what did you do?  Nick Johnson: So we bought a 1950s vintage Rolls Royce from a scrap heap, and we did it over three months. My business partner is a fanatic about cars…  Yes, I met him.  Nick Johnson: He did it as a bit of a hobby, and before we renovated it, we, to some Rolls Royce lovers, they may not have been happy, but I remind them that it was on a scrap heap, so we did save it in the first place. Wwe chopped it in half, we attached a flatbed truck to it. We then constructed a digital scene on the back to make it look like it was a, like a food van, but actually it was constructed with screens and the digital element created a visual effect to make it look like the screens went up and down and then we drove it 1,300 miles from Manchester in the UK all the way to Barcelona at 50 miles an hour and parked it on the stand.  So, was it on the back of another truck, or was it a viable rolling vehicle?  Nick Johnson: So with this setup, and it was over seven meters long unit, so yeah, and because of the age of it, we actually built an electric motor inside it underneath. So what we did is we transported it on another vehicle that had to drive very slowly, and then when we got it near the venue, we actually drove it in with a remote control by the electric power. So we actually drove because no petrol was allowed in the car, and we remote control it in and reversed it onto the stand and then we had a few gags throughout the show as well, where we got people to sit in and then quickly remove the remote, and they thought that they'd pressed something and made the car move forward.  Well, that's certainly a lot more eye-grabbing than a bowl full of pens.  Nick Johnson: I agree.  So what are you going to do next year? Or you can't tell me?  Nick Johnson: I am under wraps on that one, but let's just say it's definitely going to be bigger and better. The problem that I think we will have once we do next year is that I'm not too sure how we're going to top it the following year. So, next year is going to be, yeah, pretty impressive. It is vehicle-related again, but yeah, it's even more impressive. I'm quite looking forward to getting it over there.  Yeah. Well, the challenge of that is just what you just said. If you one up by yourself every year, then there's an expectation now: what are you gonna do? Is it gonna be a space shuttle or what? Nick Johnson: Yeah, or just not turn up for any year or so, but I don't think we could do that.  Nick, thank you. That was terrific.  Nick Johnson: Excellent. Well, yeah, thanks for having me on, and yeah, I look forward to catching you in Infocomm or wherever I see you next.  Infocomm and I'll be at the event in Munich in six to seven weeks, something like that, so I'm around. Nick Johnson: Good stuff.  All right. Take care. 

In this Microsoft Cloud Executive Enablement Series episode, host Justin Slade, Global Partner Enablement Strategy Director at Microsoft, is joined by Amir Netz, Technical Fellow and CTO of Microsoft Fabric. Justin and Amir discuss integrating Power BI into Fabric, with every Power BI tenant automatically becoming a Fabric tenant with an opportunity for partners to skill up and tap into the broader set of features Fabric offers. The conversation covers the technical and affordability of Fabric with a low entry point of $160 per month for the entire organization, making it accessible for partners and opening doors to a broader range of customers. Justin and Amir provide insights into Microsoft Fabric, its capabilities, and the opportunities it presents for partners in the analytics and AI space. In This Episode You Will Learn: Fabric's ability to offer a complete, integrated solution for analytics The significance of Fabric in the context of generative AI Potential to monetize generative AI by offering services to customers Some Questions We Ask: What makes Fabric unique and special in the data space? How has the response been to Fabric during the preview period? Can partners expand their offerings to existing Power BI customers with Fabric? Resources: View Amir Netz on LinkedIn View Justin Slade on LinkedIn Watch the full video episode on YouTube Discover and follow other Microsoft podcasts at microsoft.com/podcasts Download the Transcript Hosted on Acast. See acast.com/privacy for more information.

This week on EXCHANGES our experts talk about Microsoft PowerBI + Fabric = Unified Data for Everyone. What does Fabric mean for your modern business? As our Power BI Expert Sandeep Pawar says, "It's more about creating solutions, and less about the plumbing." Don't miss a single episode of Hitachi Solutions EXCHANGES. Wherever you get your favorite podcasts!Hosted by Brad Koontz, with Power BI Experts Aditi Iyer, Sandeep Pawar and Bryan Campbellglobal.hitachi-solutions.com

Summary: The future of CDPs, as envisioned by Tejas, is a more flexible, adaptable data architecture that Hightouch is actively shaping. Hightouch, even without the data collection component, is recognized by some of the largest companies in the world as their go-to CDP. Tejas stresses that the reconciliation of 'truth' in data between marketing and data teams isn't solely a tech or architecture problem; it requires an operational shift and closer collaboration between teams. The conversation serves as an essential guide for businesses seeking to optimize their data use and enhance customer experiences.The Software solutions like Hightouch provide a solid framework to tackle this, but the human element—teamwork, alignment, and communication—remains a key determinant in solving these challenges.From Corporate Travel to Reverse ETL: Teja's Journey Back to DataWhen asked about the journey of reverse ETL's inception at Hightouch, Teja revealed the interesting twists and turns of his entrepreneurial path. His initial venture after leaving Segment wasn't directly into the data sphere. He founded a startup, Carry, in the corporate travel space.However, Teja's departure from Segment wasn't just fueled by an entrepreneurial itch. He had reservations about the future trajectory of Customer Data Platforms (CDP). He didn't fully believe CDPs were set to become the standard for managing customer data across industries. With inklings of impending acquisitions and significant changes in the data industry, he left Segment.Teja then spent about eight to nine months with Carry until the onset of COVID-19. Despite the inherent challenges of the travel industry—low margins, high human operation requirements, price-sensitive customers—Carry was growing. Yet, COVID-19 brought it to a grinding halt.With business metrics falling to zero almost overnight, Teja and his co-founders, Auren and Josh, found an unexpected opportunity. They decided to pivot back to their roots in the data industry, tapping into their old ideas and experience from their Segment days. The pandemic, in all its harshness, became a catalyst for their return to the customer data space.Teja's story is far from a linear narrative. The travel venture, the COVID-19 pivot, and the return to the data industry all added unique layers to his entrepreneurial journey. Looking back, Teja feels gratitude for these unexpected turns of events, which led him back to the dynamic world of data and customer platforms.Takeaway: An entrepreneur's journey isn't always a straight path. Teja's experiences, from his departure from Segment to his foray into the travel industry and eventual return to data, highlight the unforeseen opportunities that can surface in the face of challenging times. His story underscores the importance of adaptability and leveraging past experiences to seize new opportunities in the ever-changing business landscape.Composable CDP - The Birth and Journey of a New ParadigmWhen asked about the emergence of the term "composable CDP" and the role Hightouch played in its inception, Tejas reminisced about the early days of this concept's birth. Tejas recalled collaborating with one of their esteemed partners to develop a novel way of approaching Customer Data Platforms (CDPs), distinct from the traditional models. Their goal was to define an architectural blueprint that would resonate with a marketing audience while providing a fresh solution to existing CDP challenges. The result was the "composable CDP."Despite its somewhat confusing nature, this term became a touchstone for their market positioning. But Tejas admitted, many terms in the martech world like "marketing cloud" or "engagement hub" often induce more head scratching than clarity. Their aim, however, was not merely to coin a catchy phrase but to address a pervasive dissatisfaction within the industry. At the time, many large enterprises and mid-market companies were investing heavily in CDPs, hoping to enable marketers to freely explore customer data, create audiences, and tailor customer journeys across all channels. Yet, despite the widespread adoption, most were finding little value in these investments. This stark discrepancy between aspiration and reality was the driving force behind Hightouch. The aim was not just to sell another CDP, but to propose an innovative approach that would enable marketers to leverage data more effectively across the organization. This approach advocated the utilization of the rich data sources already present in company warehouses, and activating it across various customer journey touchpoints. Tejas highlighted that the core value of a solution should not be whether it's bundled or unbundled, but rather, the tangible business outcomes it can drive. As companies invest in housing their data using various BI tools, from Microsoft Power BI to newer players like Looker, the potential to empower marketing teams with this wealth of data is tremendous. Solutions like Hightouch or a robust CDP should offer infinite flexibility, not limiting themselves to specific data collected for a CDP.The term "composable" was chosen to reflect this mindset - working with existing resources, scaling with future technologies, and avoiding the rigid, off-the-shelf solutions. While the term may elicit confusion, the purpose behind it - empowering businesses to effectively use their data - remains clear.Key Takeaway: The term "composable CDP" emerged from the need for a novel approach to CDPs that focused on empowering marketers to use data more effectively. It's about leveraging existing data, offering infinite flexibility, and scaling with future technologies, rather than sticking to rigid, traditional solutions.Breaking Down the Power of Composable CDP vs Packaged SolutionsProbing deeper into the potential of Composable CDP, Tejas was asked to illuminate the benefits of adopting such an approach over a monolithic all-in-one package solution. Tejas, ever insightful, took this as an opportunity to share the unique strength of a composable strategy.He started by emphasizing the fundamental flaw in traditional customer data platforms (CDPs) - their reliance on a pre-defined data architecture. Brands using conventional CDPs like Segment, Oracle, or Salesforce CDP are forced to adapt their data into a format acceptable to the platform, and this restriction severely limits the platform's capability. In Tejas' words, "they can only operate on data that they understand and that was built for them." This myopic vision becomes problematic in the complex, diverse landscape of large enterprises where every business is unique and possesses an array of distinct data. Tejas vividly illustrated this point by citing the case of a Fortune 500 company that wanted to leverage its pet loyalty program data - a dataset unique to their business - to drive personalization and engagement. Traditional CDPs failed to handle this unique set of data due to their rigid architecture, but Hightouch's flexible and inclusive approach brought the data to life.The ability of Hightouch to tap into an organization's existing data, whether it's stored in Snowflake, Databricks, or any other system, and utilize it to deliver highly personalized experiences is at the heart of its value proposition. By contrast, the challenges of molding data to fit into a traditional CDP's format have led to a high failure rate, Tejas pointed out, making the novel architecture of Hightouch all the more appealing.Takeaway: The real power of a composable approach like Hightouch's lies in its flexibility and inclusivity. It's not restricted to pre-defined data architectures and can handle unique, diverse data sets that are crucial to large enterprises, unleashing new potentials for customer experiences.Unpacking the Legacy CDP: Teja's Insights and Vision for the Future of MartechThe question of the legacy or packaged Customer Data Platform (CDP) was put forth. Looking for a deep dive into the anatomy of a traditional CDP, Teja's insights were sought. Referencing Arpit Choudhry's informative blog post that delineates eight vital components of a legacy CDP, he was asked to reflect on these elements and offer his unique perspective.With his extensive experience at Segment, a leading CDP, Teja was expected to provide valuable insights. Choudhry's components ranged from the basic SDK (the infrastructure to collect first-party data) to the advanced reverse ETL (Extract, Transform, Load) process used for extracting customer data from a warehouse to other business tools. His list also included ID resolution, data quality, accuracy, consistency, and governance aspects. In response, Teja noted the emphasis on comprehensiveness and referred to Hightouch's resources for a broader view of the differences between composable and packaged CDPs. However, he highlighted the importance of considering the why over the what — understanding why companies opt for CDPs in the first place. According to Teja, companies pursue CDPs to leverage their customer data to personalize the customer experience and drive business outcomes. The ultimate goal isn't necessarily about the different components or features, but about leveraging data to the fullest. Teja emphasized that in his view, the crux of any CDP lies in three core things: a way to collect data, a way to transform it, and a way to activate the data.Highlighting the advantages of a composable CDP approach, Teja mentioned that instead of using an off-the-shelf CDP platform as the data warehouse, companies could leverage their own data warehouse. This allows businesses to access and activate data that wasn't originally built for the CDP's end purpose. From the start, Hightouch, focused on large enterprises, emphasizing compliance, privacy, and governance. Their experience with companies such as NBA, Warner Music, PetSmart, and GameStop necessitates a high degree of data accuracy and consistency.In conclusion, Teja underscored the importance of use case-driven selection in martech. Instead of comparing solutions on a feature basis, marketing technologists should identify the activations they need for their business and then look for the features that enable those activations.Key Takeaway: Teja's approachable but profound insights bring clarity to the complexity of the CDP landscape. He encourages a shift in perspective — from a feature-based approach to a use case-driven strategy in martech decision-making. In doing so, he positions the future of martech not as a quest for the most comprehensive solution, but as a tailored journey to activate and leverage data for personalized customer experiences.Hightouch's Evolution and Embracing the Composable CDP ApproachWhen asked about Hightouch's position in the martech ecosystem, Tejas articulated the company's journey and its dynamic development in relation to the composable CDP (Customer Data Platforms) paradigm. Initially, Hightouch revolved around the concept of reverse ETL (Extract, Transform, Load), a solution born from the recognition that warehouses brimmed with data requiring accessibility across various business tools. There was debate within the team about adopting the term "reverse ETL", but the gamble paid off, allowing them to catalyze a burgeoning space. Audience segmentation was part of Hightouch's vision from the beginning, and despite its late incorporation, it has become a valuable asset. Tejas painted a picture of Hightouch's trajectory over the years, highlighting its broadened capabilities. With the exception of ETL and data collection - the pathways for getting data into the warehouse - Hightouch has extended its functionality to encompass virtually all aspects of a CDP. While ETL isn't currently on Hightouch's menu, Tejas hinted that it may not be off the table for future consideration. Given the rising commoditization and numerous ways for companies to collect events into their data warehouses, Hightouch has not prioritized this feature. However, it's worth noting that they are not philosophically against its inclusion. Despite Hightouch's reluctance to enter the data collection arena, the company excels in delivering a wide range of services under the composable CDP approach. It shines in its commitment to offer more than just reverse ETL, providing marketers with an extensive product to facilitate audience segmentation and identity resolution. Tejas confirmed Hightouch's commitment to this path by teasing an imminent announcement concerning their advancements in identity resolution. Takeaway: Hightouch has emerged as a leader in the composable CDP space, excelling beyond reverse ETL. By circumventing the need for extensive engineering effort and tapping into existing data sources across businesses, Hightouch enables marketers to build audiences efficiently and effectively. This approach, anchored on data warehouses, allows businesses to preserve their unique data structure and offers them the flexibility to personalize based on their distinct attributes and customers' needs.Can Hightouch Truly Replace Legacy Customer Data Platforms?When Tejas was asked about the perceived controversy around composable tools and their approach to marketing solutions, the conversation moved towards the role of Hightouch as a competitor or substitute for traditional Customer Data Platforms (CDPs). Critics argue that the popular sentiment surrounding reverse ETL tools only adds to the confusion, veiling the true utility and function of such tools.Tejas, having authored several thought-provoking blog posts last year on the subject, including "CDPs are Dead" and "Friends Don't Let Friends Buy a CDP", was asked whether Hightouch can indeed replace a legacy CDP today. In the marketing world, Hightouch is often touted as a 'fast, flexible, affordable CDP alternative'. Yet, Tejas pointed out, Hightouch doesn't incorporate components like tracking and ETL, crucial elements of a typical CDP.Tejas responded to this query with an insightful admission - describing Hightouch as a CDP alternative when used in combination with other solutions like Snowplow and FiveTran would be misleading. However, he did emphasize that less than 20% of Hightouch's enterprise clients leverage such complementary solutions, defying the notion that Hightouch is solely for data teams at technology-forward companies.Moreover, Tejas provided examples of Hightouch's significant enterprise customers, such as Blizzard Activision and Warner, who have transitioned from other CDPs and now consider Hightouch their CDP of choice. The primary difference between Hightouch and a conventional CDP lies in the data collection component, which Hightouch addresses through partnerships with companies like Snowplow.Hightouch aims to facilitate data activation success for marketing teams and personalization efforts. The future of CDP, according to Tejas, is an architecture where companies possess their own data and can activate it across different channels, allowing for flexibility and adaptability - a future that Hightouch is ambitiously pioneering.Takeaway: Hightouch, even without the data collection component, is recognized by some of the largest companies in the world as their go-to CDP. The future of CDPs, as envisioned by Tejas, is a more flexible, adaptable data architecture that Hightouch is actively shaping. With its data activation capabilities, Hightouch is carving a new path for the evolution of CDPs.Breaking Down the Data Truth: Martech vs Data TeamsWhen Tejas was questioned about the conflict within organizations, arising due to the diverging understanding of 'truth' between the Customer Data Platforms (CDPs) used by marketers and the data warehouses employed by analysts, his response presented a balanced blend of practical insights and empathetic understanding. The issue he addressed relates to the potential disparities in data interpretation between different teams, leading to complications in metric reconciliation and incomplete data in CDPs.Tejas readily acknowledged the problem's complexity, stressing the need for a single source of truth across the board. In Hightouch's vision, this unified truth would arise from a data set that's not only flexible but also entirely owned by the organization, fostering more control for marketers.However, Tejas expressed a level of realism regarding the technology's role in resolving these disputes. The idea that software vendors can eradicate any collaboration issues between teams within a company is simply overpromising, according to him. While Hightouch provides an enabling framework that facilitates businesses in successfully resolving these conflicts, he was clear that there's an inherent human element necessary for this to work. For any company to succeed in their data initiatives, a robust alignment and collaboration between the marketing team and the data team is crucial. Irrespective of the platform or the nature of the CDP—be it composable or otherwise—those teams must work together in harmony. The role of Hightouch, as Tejas pointed out, is to offer a conducive framework where teams can work on the same source of truth, using the same data set, and capitalizing on the data stored in their warehouses.Tejas' doubled down on the need for fostering mutual understanding between marketing and data professionals. In his view, communities like Arpit's Data Beats serve an essential role, bridging the gap between these two distinctive professional arenas. By elucidating data concepts to marketers and marketing concepts to data analysts, they contribute significantly towards promoting interdisciplinary knowledge.However, as Tejas noted, expecting marketers to understand SQL and data engineering or data analysts to build marketing campaigns is not a realistic expectation. The solution to this problem doesn't lie in enforcing these roles to cross over fully, but in designing and utilizing software that's user-friendly for marketing teams, while still leveraging the data and technical infrastructure provided by the data teams.Takeaway: The reconciliation of 'truth' in data between marketing and data teams isn't solely a tech or architecture problem; it requires an operational shift and closer collaboration between teams. Software solutions like Hightouch provide a solid framework to tackle this, but the human element—teamwork, alignment, and communication—remains a key determinant in solving these challenges.A Closer Look at The Rise of Warehouse-Native Approach Tejas was prompted with a significant question concerning the progression of martech and the potential role of the warehouse-native approach. The heart of this discussion revolves around the effectiveness of martech tools that hinge solely on the data warehouse, extracting real-time insights without creating superfluous data replicas.Tejas posited that incumbent martech providers are not far behind Hightouch in making a paradigm shift towards the data warehouse as the central data point. This move is not only predictable but also a reaffirmation of the intertwined nature of martech and data. As internal data pots like Snowflake and Databricks gain ground, the idea of siloed marketing data is rapidly becoming outdated.Despite this, Tejas expressed reservations about a complete sweep of the martech landscape by warehouse-native marketing tools. He brought up the diversity of marketing channels, encompassing advertising, app personalization, and more. This variety makes it impractical to expect a full-scale migration onto the data warehouse. Marketers have intricate needs; while data access is paramount, they also have to deal with aspects such as IP warming, which may not be catered to by warehouse-native tools.This isn't to say that Tejas doubts the potential of emerging platforms like Castled.io, Vero, and MessageGears to carve a niche in the martech landscape. His perspective isn't grounded in their inability to create robust businesses, but the improbability of these tools triggering a platform shift of a magnitude capable of upending the reign of heavyweights such as Salesforce and Adobe. Despite the undeniable advantages to marketing, data, and IT teams, the chances of a mass SaaS apps swap out do not appear immediate, given the historic hurdles startups face while trying to capture a substantial market share in this space.Tejas highlighted the ethos of Hightouch, stating that their approach is to tackle the present problem rather than develop new platforms. Their primary goal is to create a bridge between the data and marketing facets of businesses, without the hassles of managing new templates or handling novel platforms for email analytics. Takeaway: Tejas's insights indicate that while the martech industry will continue to embrace a warehouse-native approach, it does not spell a complete overhaul of the martech landscape. The future likely holds more integration and convergence than a radical replacement of existing tools and platforms. Businesses need to focus on merging their data and marketing efforts seamlessly without being lured into acquiring new platforms unnecessarily.The Potential and Limitations of AI in MarketingWhen asked about the growing influence of artificial intelligence (AI) in the marketing sphere, Tejas provided an insightful overview of the exciting opportunities and inherent challenges. The idea of AI replacing or radically altering marketing roles is a common fear among many early-stage marketers. However, Tejas maintains a more balanced perspective on the matter, acknowledging both AI's potential and its limitations.Tejas recognizes the transformative potential of AI in marketing, emphasizing how AI could drastically enhance the marketing data experimentation process. Current limitations often restrict marketers to a few trials or force them to rely on gut instincts due to a lack of tools to test every possible variable. However, the introduction of AI can enable marketers to create numerous audiences and launch more sophisticated and targeted campaigns.Furthermore, Tejas underlines his enthusiasm for providing marketers with access to data platforms like Databricks and Snowflake, which are increasingly incorporating AI capabilities. This approach aligns with his strong belief in the power of AI to augment, rather than replace, the human intelligence involved in marketing strategies.Despite AI's capabilities, Tejas is cautious about the notion of it replacing the marketing department. Drawing from his experience as a CEO and dealing with the intricate facets of marketing, he emphasizes the enduring importance of qualitative changes. Data-driven strategies can't fully replicate the nuanced insights, intuition, and reasoning that human marketers bring to the table. These qualitative factors can dramatically alter program outcomes.In Tejas's view, while AI has the potential to radically alter the marketer's role, the most likely scenario is that AI will augment rather than replace these roles. The real revolution lies in how AI can unlock access to crucial business data, empowering marketers to self-service data, build audiences, and understand customer cohorts. The power of AI needs to infiltrate all aspects of marketing, from brand planning and audience segmentation to personalization and experimentation.Takeaway: While AI continues to evolve and impact various aspects of marketing, it isn't poised to replace marketers in the immediate future. Instead, it stands to augment their capabilities, empowering them with more data-driven insights and decision-making tools. The role of the marketer is likely to undergo a transformation, one marked by the increased integration of AI but still very much driven by human intelligence and intuition.Balancing Personal and Professional LivesWhen quizzed about maintaining happiness and success amidst his multi-faceted roles, Tejas unraveled his approach towards striking a perfect work-life balance. As a co-founder and co-CEO of Hightouch, a developer, and with various hobbies and interests, he certainly has his plate full.Yet, Tejas manages to juggle these roles without losing sight of his happiness and motivation. He attributes his balanced approach to the significant investment he makes in his personal relationships. Engaging with family and friends, participating in activities outside of work, and pursuing various hobbies help him navigate the demanding nature of his professional life.Tejas embraces the notion of being a "good amateur" in various pursuits, ranging from trying out new recipes with his girlfriend to exploring powerlifting, and occasionally playing the harmonica. These activities serve as refreshing breaks from the intensity of his professional life and provide him with joy and satisfaction. Though Hightouch demands his consistent and intense attention, the joy derived from personal life's simple pleasures ensures he maintains a balance. Of course, he humorously acknowledges the possibility of AI eventually replacing him, referencing our previous discussion.Takeaway: For Tejas, personal relationships and hobbies outside work are critical components in maintaining happiness, motivation, and achieving a balanced life. This illustrates that while professional success is important, investing in personal interests and relationships can significantly contribute to an individual's overall well-being.Episode RecapTejas offered an enlightening tour of the evolving Customer Data Platform (CDP) landscape. His profound insights provide us with a fresh perspective on the role of Composable CDPs in enhancing customer experiences and enabling marketers to leverage data more effectively.We dive deeper into the practical applications of Hightouch's composable CDP approach, we learned how this tool excels beyond reverse ETL. Hightouch eliminates the need for an extensive engineering effort and taps into existing data sources across businesses, offering marketers a more efficient way to build audiences. What's more, Hightouch is not just recognized for its capabilities but is also acknowledged by some of the world's largest companies as their go-to CDP.Tejas underscored a crucial point about the evolving martech industry — that it isn't about chasing comprehensive solutions but about adopting use case-driven strategies. Hightouch embodies this shift by focusing on data activation and personalization. The company carves a path towards a future where CDPs provide more adaptable data architectures, staying aligned with changing business needs.A key takeaway from the episode is the importance of alignment and collaboration between marketing and data teams. Tejas explained that the 'truth' reconciliation in data isn't solely a tech problem—it requires an operational shift that involves teamwork, clear communication, and alignment. Software solutions like Hightouch provide the necessary tech framework, but the human element remains instrumental in addressing these challenges.Finally, Tejas' insights caution us that while the industry is leaning towards a warehouse-native approach, it doesn't equate to a complete overhaul of the martech landscape. Rather, businesses should focus on integrating their data and marketing efforts seamlessly without unnecessary diversions to new platforms. This shift should lead to more convergence and integration than radical replacements.✌️--Intro music by Wowa via UnminusCover art created with Midjourney

Thank you for joining us in this exciting episode of "Mastering Microsoft Office 365" as we sit down with Sharon Gordon, a renowned expert in Office 365, to dive deep into the world of Microsoft's powerful productivity suite. In this episode, Sharon shares her extensive knowledge and practical insights on how to make the most of Office 365 in day-to-day operations. But that's not all! Sharon will take you on a journey to explore the automation capabilities of Microsoft Flow, the power of enterprise social networking with Microsoft Yammer, and the insights-driven decision-making potential of Microsoft Power BI. Guest's Bio: Sharon Gordon is a renowned Office 365 Expert and Digital Change Advocate with 40+ years of experience in education and technology. Sharon is also certified COLF (Certified Online Learning Facilitator), TAP (Training Accreditation Programme) & MOS (Microsoft Office Specialist). She helps individuals and organizations optimize Microsoft Office 365 usage through engaging training and tailored resources. As the founder of SG Web Craft Ltd, Sharon streamlines workflows and enhances productivity by showing clients how to make the most of their existing software. Collaborating with LVS Training and Fresh Connections Network, she delivers accredited courses and fosters meaningful business connections. Sharon's expertise and dedication drive digital change for success. Sharon's Website- https://www.sgwebcraft.co.uk/ Sharon's LinkedIn- https://www.linkedin.com/in/sharon-gordon-sgwebcraft/ Sharon's Instagram- https://www.instagram.com/sharonsgweb/ ***Whether you're an Office 365 beginner looking to get started or an experienced user seeking to enhance your skills, this episode is packed with practical advice, real-world examples, and expert guidance that will empower you to become a true master of Microsoft Office 365. RSVP today and hit that Notification

Joining us this week are Sarah Moore and Kris Anderson from our Data & Analytics Division. They're here to talk to us about Unleashing the Power of Power BI.  Sarah is Principal Consultant and Technology Lead at Moser. She leads the DataViz Technology Interest Group and works as a data visualization engineer in the Analytics Department. She has a passion for combining creativity with complex data and analysis, stemming from her 10+ years of experience in a variety of industries and international environments. She also loves the outdoors and is a volunteer on the board of the Central Indiana Wilderness Club.Kris is a Senior Consultant, Team Manager, and Delivery Manager at Moser. He is currently working as a BI engineer, developing full-stack solutions from data ingestion to report creation. He has worked with Power BI for more than 7 years, both as a developer as well as personally utilizing reports he built for operations management and strategic planning in manufacturing. He has a passion for data modeling and helping clients make the most of their data with robust, flexible reporting solutions. He has also worked as a Japanese interpreter after having spent 4 years living in Japan.

Willkommen bei unserer Mission New Work. New Rules. - du bist mittendrin!    Heute gibt es endlich mal wieder eine wirklich gute Erfolgsgeschichte, die zeigt, was langjährige Zusammenarbeit und Vertrauen bedeutet und wie es sich für beide Seiten lohnt.   Es geht um die gemeinsame Einführung von Microsoft Power BI und wie die KOM4TEC von Anfang an unterstützend zur Seite stand.   Ein toller Talk mit Stephan Kuhlke von Neotechnik. Auch unser Geschäftsführer Marco Breier ist der Meinung, dass hier einiges sehr richtig gemacht wurde!    Denn: "Wer sich früh auf den Weg macht, kommt pünkltich an."   Wie sieht die Zukunft aus, Stichwort "KI meets PowerBI" und woran sollte ich jetzt schon denken?   Hört rein in die 45-minütige Success Story und erfahrt, was eine tolle Partnerschaft ausmacht.    Natürlich gibt es bei dieser Folge keinen passenderen Wein als den 'WIN-WIN Riesling' vom Weingut von Winning!         Zitate aus der Folge   Marco  Wenn man natürliche coole KI-Assistenzsysteme um sich herum hat, die einen unterstützen, die man an sich anpasst, dann ist einem doch geholfen.   Also nutzt du doch die gewonnene Zeit lieber, um noch ein bisschen mehr in die Zukunft zu denken, sich um das Team zu kümmern und die Firma zu supporten.    Die Zeit darin zu investieren macht viel mehr Sinn.     Stephan K.  Ich glaube, dass selbst in diesem schnelllebigen IT-Geschäft, die konstanten Beziehungen sehr sehr wichtig sind.   Und dass sie auch zum Erfolg führen, wenn man mit den richtigen Leuten zusammenarbeitet.   Es macht vieles einfacher, weil man den Gegenüber bedeutend besser versteht und weil der Weg gemeinsam vorgezeichnet ist und weil man gegenseitig lernt.      In den kommenden Podcast-Folgen bekommst du:    Infos und Tipps rund um die M365-Welt und ihre Anwendungen wie Power BI und Power Apps  Inspiration und praktische Tipps für den Kulturwandel für dich oder dein Unternehmen, um immer einen Schritt voraus zu sein  Wertvolle Impulse für ein bewusstes Mindset  Vorbilder, Themen und Ideen zu allen Facetten der New Work  Tipps zu praktischen Tools, die deinen Change unterstützen können, egal ob persönlich oder als Unternehmen  Viele weitere Einblicke in die Welt des New Work    Let's connect  Du hast Ideen, Themenvorschläge oder Anregungen zum Thema, dann teile gerne deine Gedanken mit uns und schick uns eine Nachricht an podcast@kom4tec.de oder auf Instagram @kom4tec  Wir freuen uns von dir zu hören.   Follow us!   Facebook | https://www.facebook.com/KOM4TEC/   Instagram | https://www.instagram.com/kom4tec/   LinkedIn | https://www.linkedin.com/company/10407066/    

Witam w sto dziewięćdziesiątym piątym odcinku podcastu „Porozmawiajmy o IT”. Tematem dzisiejszej rozmowy jest praca jako analityk danych.Dziś moim gościem jest Dagmara Anuszczyk – od ponad 5 lat pracuje w zawodach związanych z analizą danych i Business Intelligence. Prowadzi bloga i instagrama bideveloper.pl na którym dzieli się swoją wiedzą odnośnie pracy z danymi i pokazuje kulisy tego zawodu. Aktualnie pracuje jako freelancer/konsultant BI developer i pomaga firmom w rozwoju, dzięki narzędziom BI, między innymi Microsoft Power BI. Ceni sobie ciszę, spokój i bliskość natury.W tym odcinku o pracy jako analityk danych rozmawiamy w następujących kontekstach:czym się różni analiza danych od business inteligence?dlaczego i jak Dagmara została analityczką danych?jakie firmy zatrudniają analityków danych?praca freelancera analityka danych – czy jest możliwa?jakie umiejętności i narzędzia musi opanować analityk danych?jak wygląda codzienna praca takiej osoby?z kim współpracuje w projekcie?jak można rozpocząć swoją przygodę w tej dziedzinie?dlaczego dużo osób odpada na ścieżce zostania analitykiem danych?jak wygląda rekrutacja na analityka danych i gdzie szukać ofert pracy?jak wygląda rynek pracy pod względem zapotrzebowania i oferowanego wynagrodzenia?Subskrypcja podcastu:zasubskrybuj w Apple Podcasts, Google Podcasts, Spreaker, Sticher, Spotify, przez RSS, lub Twoją ulubioną aplikację do podcastów na smartphonie (wyszukaj frazę „Porozmawiajmy o IT”)poproszę Cię też o polubienie fanpage na FacebookuLinki:Profil Dagmary na LinkedIn – https://www.linkedin.com/in/dagmaraanuszczyk/Facebook Dagmary – https://www.facebook.com/groups/pbipolskaInstagram Dagmary – https://www.instagram.com/bideveloper_pl/Społecznośc Data Heroes – https://bideveloper.pl/dataheroes/SOLID.Jobs – https://solid.jobs/Wsparcie:Wesprzyj podcast na platformie Patronite - https://patronite.pl/porozmawiajmyoit/Jeśli masz jakieś pytania lub komentarze, pisz do mnie śmiało na krzysztof@porozmawiajmyoit.plhttps://porozmawiajmyoit.pl/195

Patchworks is well established as a leading integrations platform for ecommerce businesses. They recently launched a business intelligence (BI) solution built on Microsoft Power BI to provide a data lake and visualisation solution for customers wanting access to the data flowing through the platform. In this episode we discuss why Patchworks launched its BI, what it offers ecommerce teams and what the product vision is for the future. Tune in to hear directly from CEO Jim Herbert.

Niemand fährt gerne mit verdreckter Frontscheibe im Auto. Aber ohne belastbare und aktuelle Unternehmenszahlen tun Sie genau das! Es muss also eine Lösung her, mit der ohne großen Aufwand die vorhandenen Daten visualisiert werden können. Da kommt Power-Bi ins Spiel. Microsoft Power BI ist eine Business Intelligence Software, mit deren Hilfe Reports und Berichte über Unternehmenszahlen erstellt werden können. Diese Berichte können über verschiedenste Datenquellen erstellt werden und auch geteilt werden. Mehr dazu in dieser Podcastfolge mit unserem Gast Jan-Philip Berendes von POINT. Consulting Weitere Infos und Hilfsangebote gibt es unter http://www.hagel-it.de/termin. Einfach kostenlosen Termin vereinbaren und mit uns sprechen!

Gopal Krishnamurthy was an early BI and data analytics expert working for a large company when he left to start a BI consulting company called Visual BI in 2010. Visual BI grew to over 300 employees serving enterprise customers as an evangelist to push emerging Data & Analytics trends with SAP HANA, SAP Lumira, SAP Analytics Cloud, Snowflake, DBT, and Microsoft Power BI. They also created several add-on products, which Gopal and his partner Jay retained when he sold the Visual BI consulting company in 2021 to Atos. Gopal and Jay now lead the growing team in Lumel, the leading provider of add-on products for the massive Microsoft Power BI ecosystem which was carved out from Visual BI. Lumel gets continuous growth funding with the proceeds of the sale of the services business, but the company is on track to be profitable by end of 2023 with almost 200 employees in the US and India. Lumel products (Inforiver, ValQ, and xViz) gaining momentum and adoption from numerous large enterprises worldwide, and their paying subscribers have crossed 2,000+ organizations already. Gopal shares his transformational story of growing from technical employee to successful consulting company CEO to now product CEO. Gopal has been a pioneer in establishing the new software category of add-on solutions to existing BI platforms. He believes that in the coming years, customers will continue to gravitate towards consolidating and maximizing their cloud and BI investments vs. buying best-of-the-breed stand-alone software.  this episode, Gopal shares: How he grew a fast-growing consulting services business called Visual BI by serving large companies in the US using SAP software Why they started to build add-on products for the SAP Business Objects ecosystem, then invested in cloud-based add-on products for Microsoft PowerBI  How they sold their consulting business to Atos in 2021 and kept their products to start Lumel How they are transitioning from a portfolio of point solution products to a family of integrated solutions for large enterprises Why Gopal doesn't think VC investment makes sense for Lumel even as they grow faster with marketing efforts, despite his big and bold vision that wouldn't be a good fit for “get big fast” VCs Find out more at practicalfounders.com.

Procore Analytics is the process of integrating all your data Procore data with Microsoft Power BI to turn your construction projects into visual powerhouses. In this episode, we discuss the importance of converting costs, schedules, KPIs, and performance data into visual charts and graphs that update in real-time, so you and your team can see the data visuals in an easily understandable format when you log into Procore.

This is episode 248 recorded on January 24th, 2023 where John & Jason review the Microsoft Power BI 2023 release wave 1 plan that covers the roadmap from April to September of 2023. For show notes please visit www.bifocal.show

In dieser Folge des ITundTECH für Deutschland Podcast spricht Holger Winkler (CEO CONBREY AG) mit Jens Horstmann (Vorstand Trevisto AG) aus Nürnberg. Warum sagt die Trevisto AG als etablierter KI-Dienstleister für Mittelstand, Banken und Versicherungen Excel immer öfter den Kampf an, indem sie bei der Einführung von Microsofts Power BI hilft? Das erfährts Du in dieser Folge!****Das Motto der im Jahre 2009 gegründeten Trevisto AG lautet „Aus Daten Mehrwert schaffen“. Das fast recht deutlich zusammen, welche Ziele sich Horstmann und sein Team gesteckt haben: Die Daten in Unternehmen sollen endlich so zur Verfügung stehen und aufbereitet werden, dass die Kunden mehr über Ihren Betrieb wissen, als zuvor.Bei der Aufbereitung der Daten kommen sowohl KI-Mechanismen als auch Data Warehouse zum Einsatz.Jens Horstmann selbst ist von Daten fasziniert. Er hat bereits im Jugendalter Datenbanken für den Sportverein etc. entwickelt. Kein Wunder also, dass nun auch in seiner Firma die Daten im Mittelpunkt stehen. Mit einer Teamstärke von insgesamt 30 Mitarbeiter*innen ist die Trevisto AG vor allem im Banken und Versicherungsumfeld zu Hause. 70% des Umsatzes werden mit Data Warehouse Lösungen gemacht.Horstmann sagt, seine Lösungen ermöglichen es, dass man alle wichtigen betrieblichen Kennzahlen im Überblick behält und verschiedene Auswertungen damit fahren kann.Nun bietet die Trevisto AG jedoch auch kleinen und mittleren Unternehmen, bei denen eine Open Warehouse Lösung überdimensioniert wäre, mit Power BI eine gute Alternative zum altbekannten Excel. Denn mit Power BI kann man Daten aus verschiedenen Systemen zusammenführen und dann regelmäßige Reportings und Analysen erstellen. Das macht Unternehmen unabhängiger – auch von einzelnen Spezialisten im Team. Denn oftmals, so Horstmann, werden von einzelnen Teammitgliedern Lösungen in Excel gebaut, die niemand mehr versteht, wenn diese von Kolleg*innen übernommen werden sollen.Große Vorteile von Power BI sind die Übersichtlichkeit und die Reduktion von Fehlern, die sich in Excel Makros etc. leider immer wieder finden. So kann die Plausibilität der Auswertungen und auch die Skalierbarkeit der Lösungen sichergestellt werden.Typische Vorteile beim Einsatz Power BI sind die gute Eingliederung in das ohnehin schon bestehende Microsoft Umfeld der Kunden sowie die bereits vorhandene Power BI Lizenz, die in Office 365 in der Basis enthalten ist. Diese lässt sich nämlich mit recht überschaubaren Kosten auf eine professionelle / erweiterte Lizenz upgraden. Daher ist die Integration von Power BI mit überschaubaren Kosten möglich.Gastgeber Holger Winkler und sein Gast sprechen dann noch über ein spezielles Power BI Kundenprojekt, das zeigt, wie eine solche Umsetzung aussehen kann. Das Unternehmen, aus dem Umfeld der Holzwerkstoffe, wünschte sich eine übersichtliche Darstellung ihrer Kennzahlen und ein Frühwarnsystem für die Margen. Im Gegensatz zum traditionellen Handel ist hier die Marge von vielen Marktdaten z.B. Einkaufspreise, Rohstoffe etc. abhängig und wird so gerade im Onlinehandel sehr komplex. Sobald also Margen unterschritten werden, werden die Verantwortlichen im Umfeld informiert können reagieren und die Preisanpassungen werden dann umgehend vom System neu mit einberechnet und an die Online-Plattform zurück übermittelt.So wird auf Basis von Power BI eine dynamische Preisanpassung ermöglicht. Gerade in Zeiten, in denen Preisbildungen durch äußere Faktoren wie die Pandemie, die Ukraine Krise etc. sehr komplex geworden sind, müssen die Daten fundiert und schnell ausgewertet werden können. Damit werden betrieblich relevante Entscheidungen schneller und weniger fehleranfällig. Das ist für Kunden überlebenswichtig und so verwundert es nicht, dass die Projektierung hier oftmals von der Geschäftsleistung selbst initiiert wird.Komplexe Zusammenhänge werden durch die Verknüpfung vieler Auswertungen und die Entkoppelung von den Rohdaten für die Entscheider im Unternehmen schnell sicht- und nachvollziehbar. Das freut dann auch Abteilungen wie Einkauf und Vertrieb, die durch die einfache Benutzbarkeit schnell Auffälligkeiten bemerken und dann zeitnah reagieren können.Die Lernkurve und Begeisterung im gesamten Unternehmen ist extrem hoch, wenn die einzelnen Abteilungen begreifen, wie einfach sie Analysen fahren können, so Horstmann.Basis eines jeden Projekt, so Jens Horstmann, die ein Erstgespräch in dem die gewünschten Reportings und Analysen mit dem Kunden besprochen werden, danach erfolgt eine explorative Datenanalyse durch die Expert*innen der Trevisto AG. Hierbei werden oftmals Auffälligkeiten an Licht gebracht, die vorher übersehen wurden. Das bedeutet, der Kunde ist bei der Implementierung des Systems immer intensiv mit eingebunden. Die Kommunikation zwischen dem Kunden und der Trevisto AG ist enorm wichtig. Nur so entstehen genau die Berichte, die der Kunde benötigt. Sobald das System dann steht, werden die Kunden auch im Umgang mit ihrer Power BI Lösung geschult, um langfristig unabhängiger zu werden und selbst Berichte erstellen zu können.Neben der reinen Dashboard-Funktion, also der Auswertung von Daten, können die erhobenen Informationen auch in Systeme wie Onlineshops, ERP-Systeme etc. zurück fließen. Gerade hier ist es dann besonders wichtig, einen erfahrenen System-Partner im Projekt zu haben, der sich mit Kontrollfiltern, Plausibilitätsprüfungen aber auch den entsprechenden Schnittstellen (APIs) auskennt.Für Horstmann sind die Power BI Projekte oftmals der Einstieg in eine langjährige Kundenbeziehung. Die Systeme wachsen dann mit den Unternehmen und Anforderungen. Deshalb versteht sich die Trevisto AG als langfristiger Entwicklungspartner.Am Ende des Interviews fasst Jens Horstmann den Unterschied von Power BI zu Excel in einem Satz zusammen: „Alles, was Du jeden Monat haben willst, mach es nicht in Excel.“Wer mehr über die Trevisto AG erfahren möchte oder als Unternehmer*in das Gefühl hat, dass ihm eine wichtige Kennzahl fehlt, wird auf der Unternehmens-Website fündig.Weiterführende Informationen zu TREVISTO und dem Power BI-Angebot:► Internet: https://www.trevisto.de/ ► LinkedIn-Firmenseite: https://www.linkedin.com/company/trevisto-ag/► Jens Horstmann auf LinkedIn: https://www.linkedin.com/in/jens-horstmann-51b2142—Über den #ITundTECH für Deutschland Podcast:Der Podcast mit CEO's innovativer Softwarehersteller, IT-Dienstleister oder TECH-Unternehmen aus Deutschland!► Abonniere unseren Youtube-Kanal: https://www.youtube.com/@itundtech ► Abonniere unseren Podcast: https://www.itundtech.de/podcast► Besuche uns auf unserer Webseite: https://www.itundtech.de/ —Der Gastgeber:Neben seiner Funktion als Vorstand der CONBREY MANAGEMENT AG ► https://www.conbrey.com ist Holger Winkler seit 2013 Sachverständiger für digitale Leadgewinnung (DESAG). Er hat sich vor allem auf den Vertrieb in der IT und TECH-Branche spezialisiert. Seit 2009 konnte Holger bereits mehr als 350 Unternehmen zu deutlich mehr Kunden und steigenden Umsätzen verhelfen.Zu den Kunden von CONBREY zählen unter anderen Firmen wie Databoat AG, Trevisto AG, Robotron Schweiz GmbH, T&G Automation GmbH, ISC Consultants und über 100 weitere Unternehmen.Bereits mit seinem IT-Vertriebs Podcast ► https://www.conbrey.com/it-vertriebs-podcast sorgte Holger Winkler für Aufsehen in der Branche. ► Vernetze dich mit Holger Winkler auf LinkedIn: https://www.linkedin.com/in/holger-winkler/ —Sie sind CEO eines innovativen Unternehmens aus dem IT- und TECH-Umfeld und hätten Lust, als Gast in den ITundTECH für Deutschland Podcast eingeladen zu werden?Dann melden Sie sich hier: https://www.itundtech.de/participate

In this episode of the Analytic Mind Podcast, Chris Webb, a member of the Power BI Customer Advisory Team at Microsoft, shares his insights on the history and development of Power BI and how the team listens to customer feedback to create an enterprise BI tool for professionals and casual users alike. Chris reveals how the team has to balance making the tool easy to use and accessible with promoting best practices, and how they are working to make the transition from casual to professional user easier. Discover how to create quality Power BI reports and unlock the power of DAX with Chris Webb in this episode of the Analytic Mind Podcast. Chris Webb, is a celebrated figure in the Power Bi world. Currently, he serves as the Principal Program Manager for the Power BI Customer Advisory Team. This team assists large customers to achieve success with Power Bi. They listen to the customers and convey their feedback to the rest of the product development team. Having worked with Microsoft Bi since 1998, Chris has seen the Power Bi product evolve from its early days to the highly successful product it is today. In addition to listening to user feedback, Chris is passionate about building the product based on what users want. What You Will Learn: 1. How has Microsoft's Power BI team been able to revolutionize its product and make it successful? 2. What strategies can be used to make the transition to Power BI easier for users? 3. What techniques can be used to optimize the DAX experience and simplify the use of Power BI? For full show notes, and the links mentioned visit: https://www.enterprisedna.co/podcast Be our guest, register here: https://www.enterprisedna.co/be-our-podcast-guest/ Connect with me: Chris Webb Blog: https://blog.crossjoin.co.uk/ LinkedIn: https://www.linkedin.com/in/chriswebb6/ Sam McKay Website: https://www.enterprisedna.co/ LinkedIn: https://www.linkedin.com/in/sammckayenterprisedna/ Loved this episode? Leave us a review and rating here: https://podcasts.apple.com/us/podcast/the-analytic-mind/id1541066997

Hi, My name is Chirag(African Chicky). After working and spending 5 years in different regions of Africa, I am on a mission to help African Entrepreneurs become Influential Leaders by promoting Brands and People of all 54 African Countries on the continent by showcasing their Business Skills, Culture, and sharing Success Stories to connect them with Foreign Investors and keep the African Youth inspired. It's Time for Africa- The Next Big Thing. Our Today's Guest is Michael Ojo, Founder of Octave Incorporations, a digital solutions company aimed at advancing digitization in Nigeria by providing available accessible and affordable digital education and services. Michael Ojo also has good knowledge in the use of Microsoft office packages, SAS, Python, Microsoft Power BI and Tableau. He is a digital marketer and data, analytics tutor. Subscribe to our Youtube Channel for all the Latest African Entrepreneurs Episodes: https://youtu.be/QTxS7aNwOaA --- Send in a voice message: https://anchor.fm/chirag347/message

Find and use Microsoft Power BI updates through native installation with Microsoft 365 apps. Collaborate on reports and datasets as you work in your favorite Microsoft 365 apps. Work together on reports inside your organization, and share datasets and reports securely outside of your organization — all while using any device. New experiences: -Direct report sharing, whether in OneDrive or SharePoint -Multiple Audiences capability, for internal users to share insights with specific people in their organization, all from a single workspace -Cross-tenant dataset sharing capability, to simplify external sharing and collaboration with people outside of your organization. Mohammad Ali, Principal GPI for Microsoft Power BI, joins Ben Walters, Senior Product Manager for Microsoft Power Platform, to walk through all the updates. ► QUICK LINKS: 00:00 - Introduction 01:05 - Latest updates 02:55 - Integration with OneDrive & SharePoint 04:44 - Multiple Audiences capability 06:33 - Cross-tenant data sharing 08:37 - Wrap up ► Link References: Get started at https://www.powerbi.com Watch our Power BI show on AI-driven insights at https://aka.ms/PowerBIAIMechanics ► Unfamiliar with Microsoft Mechanics? As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/website • To get the newest tech for IT in your inbox, subscribe to our newsletter: https://www.getrevue.co/profile/msftmechanics ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics  

In this episode of The Analytic Mind Podcast, Sam McKay is joined by Esteban Fabiani and discusses the opportunities and potential one can pursue whether as an enterprising individual or company and align it with one's skill set as a strategy. Esteban has been educated and worked in Argentina, Chile, and the USA giving him unique international exposure in diverse fields. He is a Certified Project and Consultant Manager at EMF Consulting Inc. and an expert in a range of different aspects of Power BI development and implementation. EMF Consulting provides consulting services tailored to each type of business, offering complete and accurate information that allows each area to make decisions quickly and effectively, anticipating and enhancing the profitability of the business using tools such as Microsoft Power BI, Zebra BI, ValQ visuals, and PBI Documenter. What You'll Learn 1. Esteban Fabiani's focus on developing specific skill sets within the Power BI community in order to become a consultant and/or coach for customers. 2. The difficulties that exist within Argentina for implementing Power BI. 3. Fabiani's strategy of finding customers by connecting with companies that teach Power BI, in order to offer coaching and consulting services. For full show notes, and the links mentioned visit: https://www.enterprisedna.co/podcast/esteban-fabiani/ Be our guest, register here: https://www.enterprisedna.co/be-our-podcast-guest/ To know more about Enterprise DNA's upcoming events visit: https://www.enterprisedna.co/events/summits/

Kampfsport, Bouldern, Fotografie… Gibt es irgendwas, was den Zwillings-Papa nicht interessiert? Lars und Oliver sprechen über perfekte Tage, nostalgische Jugenderinnerungen und vieles mehr. Lars überrascht Oliver mit seinen vielen verschiedenen Interessen und beantwortet u.a. folgende Fragen: - Wieso hat Lars damals mit dem Kampfsport angefangen? - "Ich habe mich abgefunden, es als Hobby zu bezeichnen." - Von welcher Leidenschaft spricht er? - Ist Lars ein Musik-Nerd? Und welche Songs aus seiner Playlist sind ihm peinlich? - Wie sieht sein perfekter freier Tag aus? - Mit wem würde Lars gerne für einen Tag tauschen? Lars ist Power BI-Enthusiast, seitdem er 2011 das erste Mal auf PowerPivot in Excel stieß. Nach 11 Jahren als Controller erfüllte er sich 2018 den lang gehegten Wunsch der Selbständigkeit. Seitdem berät und schult er im deutschsprachigen Raum Unternehmen aller Größen im Umgang mit Microsoft Power BI. Für sein Engagement in der internationalen Power BI-Community wurde ihm durch Microsoft seit 2017 jährlich der MVP Award verliehen. Lars lebt mit seiner Frau und seinen Zwillingssöhnen in Hamburg.

In this episode Peita chats with Robyna May, a Power BI and Automation Consultant at Verlata Consulting. They discuss the features of the Power BI business intelligence tool, and how it's live data visualisation software and insights can benefit practice owners. Microsoft Power BI: https://powerbi.microsoft.com/ Verlata Website: https://www.verlata.com/viewpoint-power-bi Robyna May LinkedIn: https://www.linkedin.com/in/robynamay/ Curiosity Corner (Habitica) website: https://habitica.com/ Peita Diamantidis LinkedIn: https://www.linkedin.com/in/peitamd/ Unlock the potential of your wealth business with Netwealth, visit http://www.netwealth.com.au/change Join the XY platform: App Store: http://co.xyadviser.com/xyistore Google Play: http://co.xyadviser.com/xygplay Desktop: https://www.xyadviser.com/ General Disclaimer – https://www.xyadviser.com/disclaimer/

Augmented reveals the stories behind the new era of industrial operations, where technology will restore the agility of frontline workers. In episode 17 of the podcast (@AugmentedPod), the topic is: Smart Manufacturing for All. Our guest is John Dyck, CEO at CESMII, the Smart Manufacturing Institute.After listening to this episode, check out CESMII as well as John Dyck's social profile:CESMII: (@CESMII_SM) https://www.cesmii.org/ John Dyck: https://www.linkedin.com/in/johnsdyck/ In this conversation, we talked about  democratizing smart manufacturing, the history and ambition of CESMII (2016-), bridging the skills gap in small and medium enterprises which constitute 98% of manufacturing. We discuss how the integration of advanced sensors, data, platforms and controls to radically impact manufacturing performance. We then have the hard discussion of why the US is (arguably) a laggard? John shares the 7 characteristics of future-proofing (interoperability, openness, sustainability, security, etc.). We hear about two coming initiatives: Smart Manufacturing Executive Council & Smart Manufacturing Innovation Platform. We then turn to the future outlook over the next decade.Trond's takeaway: US manufacturing is a bit of a conundrum. How can it both be the driver of the international economy and a laggard in terms of productivity and innovation, all at the same time? Can it all be explained by scale--both scale in multinationals and scale in SMEs? Whatever the case may be, future proofing manufacturing, which CESMII is up to, seems like a great idea. The influx of smart manufacturing technologies will, over time, transform industry as a whole, but it will not happen automatically.Thanks for listening. If you liked the show, subscribe at Augmentedpodcast.co or in your preferred podcast player, and rate us with five stars. If you liked this episode, you might also like episode 8 on Work of the Future, episode 5 Plug-and-play Industrial Tech, or episode 9 The Fourth Industrial Revolution post-COVID-19. Augmented--the industry 4.0 podcast. Transcript: TROND: Augmented reveals the stories behind a new era of industrial operations where technology will restore the agility of frontline workers. In Episode 17 of the podcast, the topic is Smart Manufacturing for All. Our guest is John Dyck, CEO at CESMII, the Smart Manufacturing Institute. In this conversation, we talked about democratizing smart manufacturing, the history, and ambition of CESMII, bridging the skills gap in small and medium enterprises, which constitute 98% of manufacturing. We discuss how the integration of advanced sensors, data, platforms, and controls radically impact manufacturing performance. We then have the hard discussion of why the U.S. is, arguably, a laggard. John shares the seven characteristics of future-proofing. And we hear about two coming initiatives: Smart Manufacturing Executive Council & Smart Manufacturing Innovation Platform. We then turn to the future outlook over the next decade. Augmented is a podcast for leaders hosted by futurist, Trond Arne Undheim, presented by Tulip.co, the manufacturing app platform and associated with MFG.works, the manufacturing upskilling community launched at the World Economic Forum. Each episode dives deep into a contemporary topic of concern across the industry and airs at 9:00 a.m. U.S. Eastern Time, every Wednesday. Augmented — the Industry 4.0 podcast. John, how are you today? JOHN: I'm well, Trond. How are you? TROND: I'm doing well. I'm looking forward to talking about smart manufacturing. What brought you to this topic, John? We'll get into your background. But I'm just curious. JOHN: This is my favorite topic, as you probably know. So I appreciate the chance to pontificate a little. I've been at this nexus between IT and OT for the last two decades of my career or more and found over these past two decades that this is one of the most complex pieces of manufacturing period, this sort of unique challenge between the world of operations and the world of IT. And the work I did at MESA (Manufacturing Enterprise Solutions Association) on the board and as the chairman of the board exposed me to a lot of the great vendors in this ecosystem. And through that work, I found that most of them struggle with the same things. We're all struggling in different ways. And so the opportunity to take one step back and look at this from a national and a global perspective and try to find ways to address these challenges became a very unique opportunity for me and one that I've enjoyed immensely. And so just the prospect of making a real difference in addressing these challenges as a nation and as an ecosystem has been just a privilege and one that I get really excited about. TROND: So, John, you mentioned your background. So you've worked in both startups...I think you were raising money for a startup called Activplant, but also, you have worked in large manufacturing for GE and Rockwell, so the big guys, I guess, in a U.S. context for sure. When this institution, C-E-S-M-I-I, CESMII, got started, what was its main objective, and what was the reason why this institution got launched? I guess back in 2016, which is not an enormous amount of time back. Give us a little sense of who took this initiative. And what is the core mission of this organization right now? JOHN: So Manufacturing USA is the umbrella organization under which these institutes, CESMII being one of them, were created. There are a total of 15 of these institutes, all funded with the exact same business model and funding model, and each of them having a different lens on the specific manufacturing problem that they're addressing. And ours, as the Smart Manufacturing Institute, is directly focused on creating a more competitive manufacturing environment by addressing innovation and research challenges that inhibit manufacturers from doing what they need to do in this fourth industrial revolution. So our mandate is to cut the cost of implementing smart manufacturing by 50%. Our mandate is to drive energy productivity, energy efficiency. Fundamentally, the agency that funds CESMII is the Department of Energy, which means that our overarching objective is to drive energy productivity as a basic metric. But we also believe that whether that's a direct challenge meaning addressing energy, performance energy efficiency directly, or an indirect outcome from a more efficient process, or a more effective supply chain, whatever that manufacturing initiative is, that we'll create a better product, a better process that will have direct and indirect impact on energy productivity, which is the connection back to our agency and the source of the funding that we have to accomplish these really important goals. TROND: And one of the really big identified gaps, also it seems, is this discrepancy between the big and the small industry players. So small and medium enterprises famously in every country is basically...the most of industry is consisting of these smaller players. They're not necessarily startups. They're not necessarily on this growth track to become unicorns. But they are smaller entities, and they have these resource constraints. Give me a sense of what you're doing to tackle that, to help them out, and to equip them for this new era. And maybe you could also just address...you called smart manufacturing industry 4.0, but I've noticed that that's not a term that one uses much. Smart manufacturing is kind of what you've opted for. So maybe just address that and then get to the small and medium-sized. JOHN: This is, I think, one of the really important observations that we try to make and the connections that we try to make to say that the status quo, the state of the industry today, Trond, is the result of three or four decades of what we did during the third industrial revolution. We began talking about the fourth industrial revolution many years ago. But we can't just turn that light switch on and assume that overnight everything we do now, despite the cultures we've created, the technologies we've created, the ways of doing things we've created, is now all of a sudden just new and exciting and different, and it's going to create that next wave of productivity. So when I talk about smart manufacturing and equating it with the fourth industrial revolution, it's truly the characteristics and the behaviors that we anticipate more so than what we're seeing. Because the critical mass of vendors and systems integrators, application and software products in this marketplace still resemble more of industry 3.0 than they do industry 4.0. And it's part of our vision to characterize those two only in the context of trying to accelerate the movement towards industry 4.0 or the fourth industrial revolution. Because it's that that holds out the promise of the value creation that we've been promised for ten decades but really aren't seeing. So that's the way we see the industry 4.0 versus the other concepts that we talk about. Digital transformation is another important term. All of that happens in the context of some initiative in a manufacturing operation to improve. We've been improving for three or four decades. What's different today? Well, it's not just relabeling [laughs] your portfolio to be industry 4.0 compliant. So anyway, that's a pet topic of ours just to help as a national conversation, as a set of thinking and thought leader organizations and individuals to put the spotlight on that and ensure that we're doing the things that we can to accelerate the adoption, and the behaviors, and the characterizations of what it really means to be industry 4.0. So to your point -- TROND: Yeah, I was just curious. The term revolution anyway is interesting in a U.S. context [laughter] and in any society. So it implies a lot of things, but it also certainly implies a speed that perhaps isn't necessarily happening. So there's all this talk now about how things are speeding up. But as you point out, even if they have some revolutionary characteristics, at the edge, there are some other things that need to happen that aren't necessarily going to happen at the speed of what you might imagine when you use the word revolution. It's not going to turn over like a switch. JOHN: That's exactly right. Well said, Trond. Manufacturing and bleeding edge never come together in the same sentence, and so it takes time for...and more so on the OT side than the IT side. Right out of the IT world, we have industrial IoT platforms. We have augmented reality. We have powerful AI machine learning tools. But what is the true adoption on the plant floor? Well, that's where the behaviors, and the cultures, and the characteristics of how we've always done things and the reluctance to adopt new things really comes in. And it's as much a part of the vendor and systems integration ecosystem as it is on the manufacturing side. And that's, again, this whole thing becomes...to drive (I really don't think it's a revolution to your point.) an evolution or accelerate the evolution towards Industry 4.0 requires the ecosystem to get engaged and to recognize these really important things have to change. Does that make sense? TROND: Yes. A lot of them have to change. And then to these small and medium enterprises, so I've seen a statistic that even in the U.S., it's around 98% of manufacturing. That is an enormous challenge, even for an association like yours. How do you reach that many? JOHN: Here's an interesting epiphany I had shortly after I came to CESMII and was working through exactly this challenge: how does an organization like ours access and understand the challenges they face and then look at the ecosystem that's there and available to serve them? The epiphany I had was that in my entire career with both big global corporations like Rockwell Automation and General Electric and specifically even the startup organization that I helped raise VC for and venture capital funding for and build and ultimately see acquired; I had never been in a small and medium manufacturing plant environment. The entire ecosystem is focused on large brands, recognized brands, and enterprises that have the potential for multisite rollouts, multisite implementation. And so the business models, the marketing models, the sales, the go-to-market, the cost of sales, everything in this ecosystem is designed towards the large enterprises called the Fortune 1000 that represent the types of characteristics that any startup, any Global Fortune 500 organization is going to go pursue. Which then says or leaves us with a really important conversation to say, how can the small and medium manufacturing organizations become part of this dialogue? How can we engage them? What does an ecosystem look like that's there to serve these organizations? And where an implementation organization like a good systems integrator can actually make money engaging in this way. And so that's where the needs of that ecosystem and our specific capabilities come together. The notion that democratization which is going to help the big manufacturers, and the big vendors, and the big integrators, and the big machine builders, the same things that we can do to cut the cost of deploying smart manufacturing for them, will enormously increase the accessibility of smart manufacturing capabilities for the small and medium manufacturers. And so that's where typically -- TROND: John, let's talk specifics. Let's talk specifics. So smart manufacturing, you said, and I'm assuming it's not just a community effort. You're intervening at the level also of providing a certain set of tools also. So if we talk about sensors, and data, and platforms, and control systems, these are all impacting manufacturing performance. To what extent can an association like yours actually get involved at that level? Is it purely on the standardization front, sort of recommending different approaches? Or is it even going deeper into layers of technology and providing more than just recommendations? JOHN: So the short answer is it depends on the domain, and the area of networking, and sensors and controls. Those are areas where longer-term research and investment to drive innovation to reduce the cost of connecting things becomes really important. And that's one of the threads or one of the investment paths that we pursue through what we call roadmap projects where there are longer, larger in terms of financial scope and further out impacts. We're hoping we'll have a dramatic impact on the cost of connecting machines and sensors and variable-frequency drives and motion systems or whatever sort of data source you have in an operation. So that's one track. The other piece which gets to the actual creation of technologies is more on the data contextualization, data collection, data ingestion side. And you mentioned the word standards. Well, standards are important, and where there are standards that we can embrace and advocate for, we're absolutely doing that. Part of the OPC Foundation and the standards that they're driving, MQTT and Sparkplug, becomes a really important area as well. And the work that MTConnect is doing to solve many of the same challenges that we believe we need to solve more broadly for a subset of machine classes more in a CNC machine tool side. But this effort, smart manufacturing, is happening today, and it's accelerating today. And we can't wait for standards to be agreed on, created, and achieve critical mass. So we are investing in a thin but vital layer of technologies that we can drill into if you'd like as a not-for-profit, not to compete in the marketplace but to create a de facto standard for how some of these really important challenges can be addressed, and how as a standard develops and we fund the deployment of these innovations in the marketplace and kind of an innovation environment versus a production environment. Not that they don't turn into production environments, but they start as an innovation project to start and prove out and either fail quickly or scale up into a production environment. So this idea of a de facto standard is a really important idea for us. That's our objective. And that's what we believe we can build and are building is critical mass adoption for really important ideas. And we're getting support from a lot of the great thought leaders in the space but also from a lot of the great organizations and bodies like, as I mentioned, the OPC Foundation, The Industrial Internet Consortium, the German platform industry 4.0 group responsible in Germany for industry 4.0. We're working towards and aligning around the same principles and ideas, again, to help create a harmonized view of these foundational technologies that will allow us to accomplish the dramatic reduction of the cost of connecting and extracting information from and contextualizing that information. And then making it available in ways that are far more consistent and compelling for the application vendor. The bar or the threshold at which an application developer can actually step into the space and do something is in a pretty high space. If you kind of look back, and I know this analogy is probably a little overused, but what it took to build applications for devices and phones, smart devices, and smartphones before Apple and Android became commonplace meant that you had to build the entire stack every single time. And that's where the industry is today. When you sit down in front of a product, you're starting from scratch every time, regardless of the fact that you've created an information model for that paper-converting machine 100 times in 20 different technology stacks. When I start this project, it's a blank slate. It's a blank sheet of paper every single time. Is that value-add? Is that going to help? No. And yet it requires a tremendous amount of domain expertise to build that. So the notion of standardizing these things, abstracting them from any individual to technology stack, standardizing on them, making them available in the marketplace for others to use that's where democratization begins to happen. TROND: So what you are about to create is an innovation platform for smart manufacturing. Will that be available then to everybody in the U.S. marketplace? Or is it actually completely open for all of the industry, wherever they reside? And what are the practical steps that you would have to take as a manufacturer if you even just wanted to look into some of the things you were building and maybe plug in with it? JOHN: So we're not about to build, just a minor detail there. We've been working on this for a couple of years. And we have a growing set of these implementations in the marketplace through the funded projects that we were proud to be able to bring to the marketplace. So the funding, and right now within the scope of what we're doing here as an institute, the funds that we deploy as projects, these grants, essentially mean that we spend these grants, these funds in the U.S. only. So in the context of what we do here, the smart manufacturing innovation platform, the creation of these profiles, the creation of the apps on top of the platform by our vendor ecosystem and domain experts in this ecosystem those are largely here and exclusively here in the U.S, I should say. So from that perspective, deployments that we have control over in terms of funding are uniquely here in the U.S. What happens beyond that in terms of where they're deployed and how they're deployed, we know we live in a global manufacturing environment. And as our members who want to deploy these capabilities outside of the U.S., those are all absolutely acceptable deployments of these technologies. TROND: But, John, so all of these deployments are they funded projects so that they're always within involvement of grant money, or is some part of this platform actually literally plug and play? JOHN: So there are several threads. The projects that we fund are obviously one thread. There's another thread that says any member of ours can use any implementation of our platform or can use our platform and any of the vendors that are here as a proof of concept or pilot, typically lasting 3,4,5,6 months for free of charge. What happens then that leads to the third component is after your pilot, there's one of two things that's going to happen. The system will be decommissioned, and you ideally, well, I shouldn't say ideally...you fail fast, the system is decommissioned, and folks move on. Ideally, the pilot was a success. And that generates a financial transaction for the parties involved in that. And that organization moves towards a production rollout of these capabilities. So CESMII's role then diminishes and steps away. But this notion of a pilot actually came from a conversation with one of our great members here at Procter & Gamble. They talk about innovation triage and the complexity of just innovating within a large corporate environment like Procter & Gamble. The fact that just to stand up the infrastructure to invite a vendor, several vendors in to stand up their systems costs hundreds of thousands of dollars and takes months and months and months just to get started. This notion that we can provision this platform in minutes, bring our vendor partner technologies to bear in minutes allows them to execute what they call innovation triage. And it really accelerates the rate at which they can innovate within their corporation, but it's that same idea that we translate back down to small and medium manufacturing, right? The notion that you don't have to have a server. You don't have to sustain a server. You don't have to buy a server to try smart manufacturing in a small and medium manufacturing environment. If you've got five sensors from amazon.com and lightly industrialized Raspberry Pi, you have the means to begin the smart manufacturing journey. What do you do with that data? Well, there are great partner organizations like Tulip, like Microsoft Excel, even Microsoft Power BI that represent compelling democratized contemporary low-cost solutions that they can actually sustain. Because this isn't just about the cost of acquiring and implementing these systems, as you know. This is also about sustaining them. Do I have the staff, the domain expertise as a small and medium manufacturer to sustain the stuff that somebody else may have given me or implemented here for me? And so that's just as an important requirement for these organizations as the original acquisition and implementation challenges. TROND: It's so important what you're talking about here, John, because there's an additional concept which is not so pleasant called pilot purgatory. And this has been identified in factories worldwide. It's identified in any software development. But with OT, as you pointed out, with more operational technologies, with additional complications, it is so easy to just get started with something and then get stuck and then decide or maybe not decide just sort of it just happens that it never scales up to production value and production operations. And it seems like some of the approaches you're putting on the table here really help that situation. Because, as you mentioned, hundreds of thousands of dollars, that's not a great investment for a smaller company if it leads to a never-ending kind of stop and start experimenting but never really can be implemented on the true production line. JOHN: Yeah. Spot on, Trond. The numbers that we're seeing now...I think McKenzie released a report a couple of months ago talking about, I think, somewhere between 70% and 80% of all projects in this domain not succeeding, which means they either failed or only moderately succeeded. And I think that's where the term pilot purgatory comes in. I talk almost every chance I get about the notion that the first couple of decades of the third industrial revolution resulted in islands of automation. And we began building islands of information as software became a little more commonplace in the late '80s and '90s. And then the OTs here in the last decade, we've been building islands of innovation, this pilot purgatory. The assumption was...and I get back to the journey between where we thought industry 3.0 or the third industrial revolution became the fourth industrial revolution. The idea was that, man, we're just going to implement some of these great new capabilities and prove them out and scale them up. Well, it gets back to the fact that even these pilots, these great innovative tools, were implemented with these old ideas in these closed data siloed ways and characterizations. And so yeah, everybody's excited. The CEO has visibility to this new digital transformation pilot that he just authorized or she just authorized. And a lot of smart people are involved, and a lot of domain experts involved. The vendors throw cash at this thing, and the systems integrators, implementers, throw cash at this thing. And even if they're successful, and broadly, as an individual proof of concept, there are points of light that say, we accomplished some really important things. The success is not there, or the success isn't seeing that scaled out, and those are the really nuanced pieces that we're trying to address through this notion of the innovation platform and profiles. The notion that interoperability and openness is what's going to drive scale, the notion that you don't have the same stovepipe legacy application getting at the same set of data from the same data sources on the shop floor for every unique application, and that there are much more contemporary ways of building standardized data structures that every application can build on and drive interoperability through. TROND: Yeah, you talk about this as the characteristics of future-proofing. So you mentioned interoperability, and I guess openness which is a far wider concept. Like openness can mean several things. And then sustainability and security were some other of your future-proofing characteristics. Can you line up some of those for us just to give some context to what can be done? If you are a factory owner, if you're a small and medium-sized enterprise, and you want to take this advice right now and implement. JOHN: Yeah, we've tried as an association, as a consortia, Trond, it's not just CESMII staff like myself who are paid full-time to be here that are focused on identifying and developing strategies for the challenges that we believe will help manufacturing in the U.S. It's organizations that are members here and thought leaders from across the industry that help us identify these really fundamental challenges and opportunities. And so, as an institute, we've landed on what we call the smart manufacturing first principles. There are seven first principles that we believe characterize the modern contemporary industry 4.0 compliant, if you will, strategy. And just to list them off quickly, because we have definitions and we have content that flushes out these ideas, sort of in order of solve and order of importance for us, interoperability and openness is the first one. Sustainable and energy efficient is the second one, security, scalability, resilient and orchestrated, flat and real-time, and proactive and semi-autonomous. And so these we believe are the characteristics of solutions, technologies, capabilities that will move us from this world of pilot purgatory and where we've come from as an ecosystem in this third industrial revolution and prepare us for a future-proof strategy whether I'm a small and medium manufacturer that just cares about this one instance of this problem I need to solve, or whether I'm a Fortune 10 manufacturing organization that understands that the mess that we've created over the last 25 years has got to make way for a better future. That I'm not going to reinvest in a future...not that I can rip and replace anything I've got, but I've got to invest in capabilities moving forward that represent a better, more sustainable, more interoperable future for my organization. That's the only way we're going to create this next wave of productivity that is held out for us as a promise of this new era. TROND: John, you have alluded to this, and you call it the mess that we've created over the last 25 years. We have talked about the problems of lack of interoperability and other issues. This is not an easy discussion and certainly not in your official capacity. But why is the U.S. a laggard? Because, to be honest, these are not problems that every country has, to a degree, they are but specifically, the U.S. and its manufacturing sector has been lagging. And there is data there, and I think you agree with this. Why is this happening? And are any of these initiatives going to be able to address that short term? JOHN: So this is probably the most important question that we as a nation need to address, and it's a multifaceted, complex question. And I think the answer is a multifaceted, complex response as well. And we probably don't have time to drill into this in detail, but I'll respond at least at a 30,000 foot-level. Even this morning, I saw a friend of mine sent me a link about China being called out today officially as being a leader in this digital transformation initiative globally, as you've just alluded to. So, from our perspective, there are a couple of important...and like I said, really understanding why this is the case is the only way we're going to be able to move forward and accelerate the adoption of this initiative. But there are a number of reasons. The reason I think China is ahead is in part cultural, but it's also in part the fact that they don't have much of the legacy that we've built. Most of their manufacturing operations as they've scaled up over the last decade, two decades, really since the World Trade Organization accepted China's entry in this domain, their growth into manufacturing systems has been much, much more recent than ours. And so they don't have this complex legacy that we do. There are other cultural implications for how the Chinese manufacturing environment adopts technologies. And there's much more of a top-down culture there. Certain leaders drive these activities and invest in these ways. Much of the ecosystem follows. So that's, I'll say, one perspective on how China becomes the leader in this domain very quickly. Europe is also ahead of the U.S. And I think there are some important reasons why that's the case as well. And a part of it is that they have a very strong cultural connection to the way government funds and is integrated with both the learning and academic ecosystem there in most of Europe as well as with the manufacturing companies themselves. It seems to have become part of their DNA to accept that the federal government can bring these initiatives to the marketplace and then funds the education of every part of their ecosystem to drive these capabilities into their manufacturing marketplace. We, on the other hand, are a much more American society. We are individualistic. The notion that the government should tell manufacturers what to do is not a well-accepted, [laughs] well-adopted idea here in the U.S. And that's been a strength for many manufacturers, and for many, many years. The best analogy that I can come up with right now in terms of where we are and where we need to go and CESMII's role in all of this, and the federal government's role in all of this, which I think brings a healthy blend of who we are as a nation and how we work and how we do things here together with a future that's a little more also compatible with these notions of adopting and driving technology forward at scale, is the reality that in 1956, President Eisenhower convinced Congress to fund the U.S. Interstate Highways and Defense Act to build a network of interstate highways, a highway network across this country to facilitate much more efficient flow of people and goods across this country. Apparently, as a soldier, many decades before, he had to travel from San Diego to Virginia in a military convoy that took him 31 days to cross the country [laughs], which is a slight aside. It was apparently the catalyst that drove the passion he had to solve this problem. And that's the role that I think we can play today, creating a digital highway, if you will, a digital catalyst to bring our supply chains together in a much more contemporary and real-time way and to bring our information systems into a modern industry 4.0 compliant environment. And that's setting those, creating those definitions, defining those characteristics, and then providing the means whereby we can accelerate this ecosystem to move forward. I think that's the right balance between our sense of individualism and how we do things here in the U.S. versus adopting these capabilities at scale. TROND: That's such a thoughtful answer to my question, which I was a little afraid of asking because it is a painful question. And it goes to the heart, I guess, of what it means to be an American, to be industrial, and to make changes. And there is something here that is very admirable. But I also do feel that the psychology of this nation also really doesn't deeply recognize that many of the greatest accomplishments that have been happening on U.S. soil have had an infrastructure component and a heavy investment from the government when you think about the creation of the internet, the creation of the highway system. You can go even further back, the railways. All of those things they had components, at least a regulation, where they had massive infrastructure elements to them whether they were privately financed or publicly financed, which is sort of that's sort of not the point. But the point is there were massive investments that couldn't really be justified in an annual budget. JOHN: That's right. TROND: You would have to think much, much wider. So instead of enclosing on that end then, John, if you look to the future, and we have said manufacturing is, of course, a global industry also, what are you seeing over this next decade is going to happen to smart manufacturing? So on U.S. soil, presumably, some amount of infrastructure investment will be made, and part of it will be digital, part of it will be actually equipment or a hybrid thereof that is somewhat smartly connected together. But where's that going to lead us? Is manufacturing now going to pull us into the future? Or will it remain an industry that historically pulls us into the future but will take a backseat to other industries as we move into the next decade? JOHN: Yeah, that's another big question. We've been talking about smart manufacturing 2030, the idea that smart manufacturing is manufacturing by 2030. And a decade seems like a long time, and for most functions, for most areas of innovation, it is, but manufacturing does kind of run at its own pace. And there is a timeline around which both standardization and technologies and cultures move on the plant floor. And so that's a certain reality. And we were on a trajectory to get there. But ironically, it took a pandemic to truly underscore the value of digital transformation, digital operations, and digital workers, I can certainly say in the U.S. but even more broadly. So a couple of important data points to back that up. Gartner just recently announced the outcome of an important survey of, I think, close to 500 manufacturing executives here in the U.S. in terms of their strategic perception of digital transformation, smart manufacturing. And I think they specifically called it smart manufacturing. And it was as close to unanimous as anything they've ever seen; 86% or 87% of manufacturing executives said that now digital transformation, smart manufacturing is the most strategic thing they can invest in. What was it a year ago? It was probably less than half of that. So that speaks to the experience these organizations have gone through. And the reality that as we talk about resilience, some people talk about reshoring, and some of that will happen. As we talk about a future environment, that's...I shouldn't say disruption-proof but much more capable of dealing with disruption not just within the four walls of the plant or an enterprise but in the supply chain. These capabilities are the things that will separate those that can withstand these types of disruptions from those that can't. And that has been recognized. And so, as much as these executives are the same ones that are frustrated by pilot purgatory, it's these executives that are saying, "That's the future. We've got to go there." And we're seeing through this pandemic...we hear CESMII are saying the manufacturing thought leaders understand this and are rallying around these ideas more now than ever before to ensure that what we do in the future is consistent with a more thoughtful, more contemporary, future-proof way of investing in digital transformation or smart manufacturing. TROND: John, these are fascinating times, and you have a very important role. I thank you so much for taking time to appear on my show here today. JOHN: Trond, I appreciate that. I appreciate the privilege of sharing these thoughts with you. These are profound questions, and answering the easy ones is fun. Answering the hard questions is important. And I appreciate the chance to have this conversation with you today. TROND: Thanks. Have a great day. JOHN: You too. TROND: You have just listened to Episode 17 of the Augmented Podcast with host Trond Arne Undheim. The topic was Smart Manufacturing for All. Our guest is John Dyck, CEO at CESMII, the Smart Manufacturing Institute. In this conversation, we talked about democratizing smart manufacturing and the history and ambition of CESMII, bridging the skills gap in small and medium enterprises, which constitute 98% of manufacturing. We discuss how the integration of advanced sensors, data, platforms, and controls radically impact manufacturing performance. We then have the hard discussion of why the U.S. arguably is a laggard. We heard about two coming initiatives: the Smart Manufacturing Executive Council & the Smart Manufacturing Innovation Platform. We then turned to the future outlook over the next decade. My takeaway is that U.S. manufacturing is a bit of a conundrum. How can it both be the driver of the international economy and a laggard in terms of productivity and innovation, all at the same time? Can it all be explained by scale, both scale in multinationals and scale in SMEs? Whatever the case may be, future-proofing manufacturing, which CESMII is up to, seems like a great idea. The influx of smart manufacturing technologies will, over time, transform industry as a whole, but it will not happen automatically. Thanks for listening. If you liked the show, subscribe at augmentedpodcast.co or in your preferred podcast player, and rate us with five stars. If you liked this episode, you might also like Episode 8 on Work of the Future, Episode 5 on Plug-and-play Industrial Tech, or Episode 9 on The Fourth Industrial Revolution post-COVID-19. Augmented — the Industry 4.0 podcast. Special Guest: John Dyck.

Gemiddelde leestijd: < 1 Minuut Iedereen kent het programma Microsoft Excel, zowel binnen als buiten de IT industrie maken meer dan een miljard mensen gebruik van deze applicatie en is Excel al vele jaren de standaard applicatie voor het maken van (complexere) berekeningen waarbij, onder andere, draaitabellen worden gebruikt om inzicht te krijgen in data. Minder bekend bij het grote publiek is Microsoft Power BI, een Business Intelligence instrument om bedrijfsgegevens uit verschillende bronnen te verzamelen die vervolgens, door middel van een gebruiksvriendelijke interface.,gebundeld kunnen werden in een rapportage. Het bericht Aflevering 45 – Robert Speulstra – Power BI verscheen eerst op Come Get IT ( CGIT ).

If you are working in the BI & Analytics field, you may have heard of self-service business intelligence (BI). In fact, you might also have a strong interest in implementing Self-service BI into your organization. Self-service BI systems like Power BI allow you to put your data models into the hands of many users and let them analyze their own data without the involvement of developers. While every organization is different, there are some general guidelines that can ensure a successful implementation. Lars Schreiber is an independent consultant for Self-Service BI with Microsoft Power BI. He has more than 11 years of experience as a Controller in different industries. In 2017, he became a Microsoft Most Valuable Professional (MVP). He also founded the first German Power BI User Group in Hamburg. The following year, he decided to do his own thing and became a freelancer, helping companies with data analytics on a more advanced basis. In this episode, Lars talks about how he evolved his skillset around Power Pivot, Power Query, and Power BI. He's experienced working with different kinds of customers. and what he thinks is necessary for a successful self-service PowerBI implementation.

Ralph, Jens und Kai sprechen über die Relevanz von ESG Dashboards in Unternehmen, die größten Herausforderungen von Nachhaltigkeits-KPIs und welche Rolle Finance dabei spielt. Das erfährst du in dieser Folge: - Warum müssen sich Unternehmen mit dem Thema Nachhaltigkeit & ESG beschäftigen? - Ist ESG alleiniges Finance-Thema? - Wo liegen die größten Herausforderungen bei Nachhaltigkeits-Kennzahlen und wie kann man diesen begegnen? - Was ist der Unterschied zwischen ESG KPIs und anderen KPIs? - Worauf muss das Kennzahlen-System aufbauen? - Mit welchen Maßnahmen kann man gleich zu Beginn Erfolg erzielen? Lessons Learned: - Orientiere dich an den ESG-Kriterien und schaffe Steuerung. - Brich die beeinflussenden Faktoren der zentralen Steuerungsgrößen, an denen man gemessen wird, runter. - Identifiziere Big Player und integriere die Erkenntnisse in das Management Reporting. - Betrachte das Ausmaß des Impacts mit Hilfe eines ROI-Kennzahlenbaums. - Versuche nicht perfekt zu sein, sondern setze dir kleine Ziele, die du nach und nach angehst. - Schaffe intrinsische Motivation bei deinen Mitarbeiter:innen und stoße eine Bewegung im Unternehmen an, indem du mit gutem Beispiel vorangehst. Ralph ist Digital Native seit Commodore C64 und ein Early Adopter von MS-Excel, nachdem es Microsoft als Ersatz für MS-Multiplan auf den Markt gebracht hat. Neugier war bei KPMG seit dieser Anfangszeit immer sein Kompass, daher ist er heute Experte für SAP S/4 Finance, SAP Analytics Cloud (SAC), Microsoft Power BI und BOARD Planning Software. Aber Finanzsysteme sind nur ein Teil seiner Erfahrung. Als KPMG DE Finance Director ist er für viele andere Finance-Aufgaben wie Strategy, Planning, Processes, Operations, Reporting, Analysis, Advice & Change verantwortlich. Während seiner Laufbahn hat er auch internationale Führungserfahrung gesammelt. Von 2007 bis 2012 verantwortete er das European Corporate Controlling Team von KPMG ELLP. Er ist stolz auf seinen Werdegang, denn er glaubt, es gibt sicher nicht viele Finance Professionals, die von sich sagen können, dass sie bereits als junger Finance-Mitarbeiter an der Einführung von SAP R/2 (1992) mitgewirkt haben, später Verantwortung als Manager in einer SAP R/3 Transformation (1998) übernommen haben und schließlich als Director eine SAP S/4 Finance Transformation (2018) konzipiert und durchgeführt haben. Alles in einem Unternehmen, aber in einem sich ständig ändernden Umfeld.

In this next episode of Tech-Driven Business, Mustansir Saifuddin talks with Dawn Solomon of Haworth. With Dawn's decades of industry and tech experience, she shares what she has learned while implementing and using SAP Business Planning and Consolidation (BPC). Dawn not only shares what has worked well, but also what to watch out for when implementing BPC; especially if you look to combine it with Microsoft Power BI. Her key takeaway: as a life-long learner, Dawn has been able to stay abreast of changing technology and support Haworth through it's refinement and use of SAP. Dawn Solomon is a Sr. SAP Business Process Analyst supporting HR and Finance in the Center of Excellence (COE) at Haworth Inc.  During Dawn's career she's done everything from Accounts Payable to being a Subject Matter Expert to joining the COE. Involved with multiple upgrades of the finance systems at Haworth, she has also supported Haworth globally including North America, Asia Pacific, and European sectors. This global support was for not only finance applications but some parts of Human Resources as Haworth moves to Success Factors. Dawn is an active volunteer with America SAP User Group (ASUG) where she shares her insights and expertise with others. Continue the conversation on: LinkedIn: Dawn Solomon Mustansir Saifuddin Innovative Solution Partners  Twitter: @Mmsaifuddin @DawnSolomon5 YouTube or learn more about our sponsor Innovative Solution Partners to schedule a free consultation.    

Analyzing, interpreting, and monitoring data is crucial for a business or an organization, and things have never been easier than using Power BI. Microsoft Power BI creates an analytical environment for monitoring data and sharing reports. It delivers interactive data visualization BI capabilities allowing users to see and share data and insights throughout their organization. In this episode of The Analytic Mind Podcast, Sam McKay interviews Greg Deckler, Vice President (Microsoft) at Fusion Alliance and is also part of the team at Enterprise DNA, helping them move the needle on some great initiatives. Find out many exciting things that are going on with Power BI, tapping on automation and other possible features. Greg Deckler has been a professional technology consultant for over 28 years. He is also a Six-time Microsoft MVP for Data Platform and author of the books Mastering Power BI, Power BI Cookbook, DAX Cookbook, and Learn Power BI. Fusion Alliance creates digital, data, and technology solutions that keep you moving forward, with a team of big-picture thinkers, technology-minded creatives, data scientists, and technical experts coming alongside your team to deliver scalable, future-focused solutions for your most complex goals.

Many organizations are sitting on mountains of data, however, not all software solutions provide the best BI functionalities to make sense of that data. Microsoft Power BI is one of the leading systems on the market that provides this functionality.  In this episode, Eric Kimberling gives an objective review of Microsoft Power BI - the good, the bad, and the ugly.    DOWNLOAD MORE RESOURCES BELOW: —————————————————————— 2021 DIGITAL TRANSFORMATION REPORT: http://resource.thirdstage-consulting... TOP 10 ERP SYSTEMS RANKING: https://www.thirdstage-consulting.com... TOP 10 ERP SYSTEMS FOR SMALL BUSINESSES: https://www.thirdstage-consulting.com... TOP 10 CRM SYSTEMS: https://www.thirdstage-consulting.com... GUIDE TO ORGANIZATIONAL CHANGE MANAGEMENT: http://resource.thirdstage-consulting... 20 LESSONS FROM 1,000 ERP IMPLEMENTATIONS: https://resource.thirdstage-consultin... ———————————————————— CONNECT WITH ME: ———————————————————— LINKEDIN: https://www.linkedin.com/in/erickimbe... INSTAGRAM: https://www.instagram.com/erickimberl... TIKTOK: https://www.tiktok.com/@erickimberling0 TWITTER: https://twitter.com/erickimberling CLUBHOUSE: https://www.joinclubhouse.com/@ericki... THIRD STAGE LINKEDIN PAGE: https://www.linkedin.com/company/thir... CONTACT ME TO BRAINSTORM IDEAS FOR YOUR DIGITAL TRANSFORMATION: eric.kimberling@thirdstage-consulting.com

Have you ever heard of Microsoft's Power BI? Did you know there are people using it to squeeze out the best results out of paid social campaigns?Power BI is an interactive data visualization software product developed by Microsoft with primary focus on business intelligence and we bring on Corey Henke to tell us how he does it.Cory is no stranger to the importance of finding creative strategies for online engagement. He's an expert in organic and paid advertising, specifically YouTube, which has helped advertisers scale through the 5-year-old ad agency Variable Media.He specializes in data visualization to help bring advertising data to life and provide immediate actionable results to clients and agencies.For more episodes and information, visit us at www.papidigital.com/podcastFollow Papi Digital for Marketing Expertise and Insights on: Facebook: www.facebook.com/PapiDigitalLinkedin: www.linkedin.com/company/papidigitalInstagram: www.instagram.com/_papidigital/

This is episode 4 of 4 episodes. We deep dive into Trendspek with Head of Product Josh Sinclair. There is a fair amount of visual content in this episode, for best value watch the episode on You Tube at https://youtu.be/_lTMN9f5eCc Trendspek is the first Precision Asset Intelligence software in the global market, Trendspek was purpose-built to capitalise on the unprecedented volume of data that can be captured via drone or robot. Transforming hundreds of thousands of data points from every asset into a model so precise it can be used in place of physical inspection, the software suite offers accurate measurement across all planes, cloud-based storage and real-time communications, in-model markups and interactive reporting. Chapters 0:00 Intro 01:40 Upload New Dataset 04:00 Walking through 3D Models 08:30 Annotating in Trendspek 14:00 Exporting Asset Data to Microsoft Excel 29:30 Upcoming Product features 32:50 Integration to Skydio and Microsoft Power BI and More 35:30 Exclusive Offer from Trendspek to DDUP Followers To get started and learn more about Trendspek visit https://trendspek.com/explore-trendspek Linked-In https://www.linkedin.com/company/drones-down-under-podcast/ Facebook https://www.facebook.com/dronesdownunderpodcast Instagram https://www.instagram.com/dronesdownunderpodcast/

Raten Sie doch mal, wer aktuell der bestbezahlte Schauspieler weltweit ist. Leonardo DiCaprio? Angelina Jolie? Brad Pitt? Leider daneben. Der Schauspieler mit dem höchsten Einkommen heißt Dwayne Johnson, auch bekannt als „The Rock“. Allein 2020 verdiente der Megastar satte 87,5 Millionen US-Dollar und gilt bis heute als der bestbezahlte Schauspieler aller Zeiten. Selbst die Konkurrenz in Hollywood kann da nur staunen.   Wie auch immer Sie zu Dwayne Johnson stehen: Vielen Business Intelligence-Projekten würde ich gerade heute den überragenden Fokus von „The Rock“ wünschen. Denn in den letzten Monaten erlebe ich besonderes im Zusammenhang mit Microsoft Power BI genau das Gegenteil.   Wenn Sie Ihr Power BI-Projekt fokussiert angehen möchten, sollten Sie strukturiert und mit klaren Zielen vorgehen. Hierzu gibt es bewährte Checklisten, die Sie auch in meinem Buch „Business Intelligence ganz einfach“ finden: https://www.atvisio.de/buch     Der Performance Manager Podcast ist der erste und einzige deutschsprachige Podcast für Business Intelligence und Performance Management. Controller und CFO erhalten hier Inspirationen, Know-how und Impulse für die berufliche und persönliche Weiterentwicklung. Weitere Informationen zu Peter Bluhm, dem Macher des Podcast, finden Sie hier: https://www.atvisio.de/unternehmen/ Unsere Bitte: Wenn Ihnen diese Folge gefallen hat, hinterlassen Sie uns bitte eine 5-Sterne-Bewertung, ein Feedback auf iTunes und abonnieren diesen Podcast. Zeitinvestition: Maximal ein bis zwei Minuten. Dadurch helfen Sie uns, den Podcast immer weiter zu verbessern und Ihnen die Inhalte zu liefern, die Sie sich wünschen. Herzlichen Dank an dieser Stelle!  Sie sind ein Fan unseres Podcast? Sie finden uns auch auf diesen Kanälen: Exklusive Xing-Gruppe zum Podcast: https://bit.ly/3eKubH6 Exklusive LinkedIn-Gruppe zum Podcast: https://bit.ly/2zp6q7j Peter Bluhm auf LinkedIn: https://bit.ly/2x0WhwN Peter Bluhm auf Xing: https://bit.ly/2Kkxhne Webseite: https://atvisio.de/podcast Facebook: https://www.facebook.com/ATVISIO/ Twitter: https://twitter.com/atvisio Instagram: https://bit.ly/2KlhyEi Apple Podcast:  https://apple.co/2RUMwaK Soundcloud: https://soundcloud.com/atvisio

On The Cloud Pod this week, the team discusses Peter's concept of fun. Plus digital adventures with AWS Cloud Quest game, much-wanted Google price increases, and a labyrinthine run-through of the details of Azure Health Data Services. A big thanks to this week's sponsor, Foghorn Consulting, which provides full-stack cloud solutions with a focus on strategy, planning and execution for enterprises seeking to take advantage of the transformative capabilities of AWS, Google Cloud and Azure. This week's highlights

Microsoft Power BI is an incredible tool for processing your organization's data into insightful analysis. It can be used to produce any type of analytics, from simple charts to responsive maps, to KPI indicators to in-depth statistical analysis, and everything in between. This incredible tool should be the backbone of reporting for all organizations. Helping to give decision-makers the right information they need, at the right time, to make good and effective decisions for their organizations. While exceedingly versatile and powerful, Power BI comes with a steep learning curve. It takes months and years to master this application and its many functionalities. It has many hidden features and unknown best practices which can stymie and frustrate new users. This course is going to focus on the hidden secrets, capabilities, features, and functions of Microsoft Power BI. This intermediate course will focus on helping users master the capabilities of the application and produce more effective reports. It will discuss capabilities such as best practices for data management, creating more interactive reports, and recommendations for more efficient use of the application. This practically focused course will demonstrate many of the more complicated functionalities which are often not discussed in introductory-level courses. Additionally, it will take a particular focus on the most recently released functionalities of the application such as new visualizations, data connectors, collaboration services, and more. Are you a CPA?? Are you a Financial Professional?? Earn CPE Credits for Today's Podcast. Check out https://cpe.cx/gsp1/. Take a quick 5 question quiz and get your certificate today. Super Easy!  Presented by Stephen M. Yoss, CPA, MS (https://yoss.io) Produced by Alicia Yoss & Alanna Regalbuto Graphics By Flaticon.com and iStock Music by Bensound.com Education and Compliance By K2 Enterprises (https://k2e.com) Copyright. All product names, logos, and brands are the property of their respective owners. All company, product, and service names used in this website are for identification purposes only. The use of these names, logos, and brands does not imply endorsement. Educational Use Only. The information presented in this presentation is for educational use only. The presenter will make specific recommendations, but the participant is highly recommended to do their own due diligence before making any investment decision.

Sarah, Dennis und Andreas unterhalten sich über Change in Projekten am Beispiel einer Power BI Einführung im Mittelstand. In dieser Folge: - Was für Arten von Widerständen gibt es? (Individuell, Politisch, Organisational) - Warum sind Widerstände eigentlich immer rational? - Warum Leute oft nicht "einfach nur mitgenommen" werden müssen - Was kann man tun um aus einem "wir gegen die" ein „zusammen“ zu machen? - Messbarkeit von erfolgreichem Change in Power BI Projekten - Warum ist Change so schwer zu messen? Als Change Management Consultant ist Sarah Kisliuk Teil des User - Experience - Teams der amexus Informationstechnik. Ihr Fokus liegt darauf, wie menschliches Verhalten durch Veränderungen in Projekten beeinflusst wird und wie sich Unternehmen und Mitarbeitende in schnell wechselnden Situationen anpassen und entwickeln können. Dabei berät sie Unternehmen, wie sie diese Aspekte in IT-Projekten berücksichtigen und den Change besser (über)lebbar machen. Außerdem liebt sie kognitive Verzerrungen – zum Beispiel, warum wir alle glauben, besser Auto fahren zu können, als der Durchschnitt. Dennis Hoffstädte ist Business Unit Lead Business Intelligence und Analytics und zugleich Impulsgeber und Speaker für analytische Themen. Er unterstützt u.a. Kunden bei der Einführung von Microsoft Power BI und der gesamten Power Platform.

This is episode 218 recorded on January 28th, 2022 where John & Jason review the Microsoft Power BI 2022 release wave 1 plan that covers the roadmap from April to September of 2022. For show notes please visit www.bifocal.show

***New Podcast online*** (#apple podcasts #spotify #amazonpodcast) In der heutigen Podcast-Folgen lassen wir das NewGen-Festival von Anfang November 2021 gemeinsam mit Johannes Schmittmann der NewGen AG nochmal Revue passieren. Wir waren selbst mit dabei und hatten auch einen eigenen Vortrag zu Microsoft Power BI im Kanzleicontrolling. Vielen Dank an Johannes Schmittmann für Deine Zeit. Wir wünschen euch viel Spaß bei diesem kurzen Rückblick zum NewGen Steuerberater-Festival 2021 in Ahaus. Einen guten Start in die neue Woche. Tobi und Philipp von MeisterKanzlei #podcast #newgenfestival #rückblick #austausch #vorträge #powerbi #keynote #partner #niggehoff #psychologie #outsidethebox #unternehmertum #pioniere #ahaus #tobitcampus #veranstaltung #offline #

Many of us find ourselves in the position of equipping others to use Apache Kafka® after we've gained an understanding of what Kafka is used for. But how do you communicate and teach others event streaming concepts effectively? As a Pluralsight instructor and business intelligence consultant, Eugene Meidinger shares tips for creating consumable training materials for conveying event streaming concepts to developers and IT administrators, who are trying to get on board with Kafka and stream processing. Eugene's background as a database administrator (DBA) and immense knowledge of event streaming architecture and data processing shows as he reveals his learnings from years of working with Microsoft Power BI, Azure Event Hubs, data processing, and event streaming with ksqlDB and Kafka Streams. Eugene mentions the importance of understanding your audience, their pain points, and their questions, such as why was Kafka invented? Why does ksqlDB matter? It also helps to use metaphors where appropriate. For example, when explaining what is processing typology for Kafka Streams, Eugene uses the analogy of a highway where people are getting on a bus as the blocking operations, after the grace period, the bus will leave even without passengers, meaning after the window session, the processor will continue even without events. He also likes to inject a sense of humor in his training and keeps empathy in mind. Here is the structure that Eugene uses when building courses:The first module is usually fundamentals, which lays out the groundwork and the objectives of the courseIt's critical to repeat and summarize core concepts or major points; for example, a key capability of Kafka is the ability to decouple data in both network space and in time Provide variety and different modalities that allow people to consume content through multiple avenues, such as screencasts, slides, and demos, wherever it makes senseEPISODE LINKSBuilding ETL Pipelines from Streaming Data with Kafka and ksqlDBDon't Make Me Think | Steve KrugDesign for How People Learn | Julie Dirksen Watch the video version of this podcastJoin the Confluent CommunityLearn more with Kafka tutorials, resources, and guides at Confluent DeveloperLive demo: Intro to Event-Driven Microservices with ConfluentUse PODCAST100 to get $100 of free Confluent Cloud usage (details)

Cet épisode se centre autour de termes, souvent anglais, que tu entends probablement régulièrement mais sans trop savoir à quoi ils correspondent. La plupart de ces termes contiennent le mot "data" : data science évidemment mais aussi data engineer, big data, data mining, data analyst... Et les autres termes dont on parle avec mon invité font plutôt référence dans notre imaginaire à la science fiction, tels que machine learning et intelligence artificielle.  Tous ces termes à la mode font de près ou de loin référence à ce qu'on appelle en français l'analyse de données. C'est de ces métiers autour de l'analyse de données dont on va parler en grande partie dans cet épisode. Au delà de ces histoire de data, nous abordons également des sujets comme la vie dans différents pays, la physique théorique, les croissants et Python (le langage de programmation, pas le serpent ! )... Alors si au moins un de ces sujets t'intéresse ou si tu veux comprendre de quoi il s'agit quand on emploie un de ces mots contenant "data", écoute attentivement mon vieil ami, le data scientist, Adam Alloul ! Les références mentionnées par Adam : Le cours de Andrew Ng sur le machine learning est une excellente introduction aux concepts de base de cet outil. Il est disponible sur la plateforme Coursera à partir de ce lien https://www.coursera.org/learn/machine-learning Il existe un excellent cours de spécialisation créé par l'université John Hopkins sur la même plateforme. Vous le trouverez ici https://www.coursera.org/specializations/jhu-data-science#courses Un aspect très important de la data science est le SQL qui nous permet de retrouver les données à partir des bases de données et parfois même de les analyser. Le tutoriel sur w3school est une excellente introduction et il est disponible ici https://www.w3schools.com/sql/ Comment contacter Adam : LinkedIn : https://www.linkedin.com/in/adam-alloul-582b698b/ Précisions d'Adam à propos de l'épisode : Note 1: Honteusement, j'ai oublié de mentionner SQL qui est un langage qu'on utilise chaque jour pour extraire les données des bases de données. Ce langage est en fait extrêmement utile et permet parfois de faire des belles analyses sans utiliser Python. Je le recommande donc à toute personne qui veut s'initier à l'analyse des données (ou la data science en général). Note 2: Pour faire ces débuts dans ce domaine, je pense que le chemin le plus facile pour les personnes les moins à l'aise avec la programmation c'est d'apprendre SQL et l'utilisation des outils de visualisation comme Excel (oui oui), Google Data Studio et Microsoft Power BI.

Cada vez mais temos visto as empresas se preocupando em tomar decisões baseadas em dados, pois a análise de dados nos ajuda a derivar a verdade sobre os processos de uma corporação, retirando o viés do achismo dos tomadores de decisão. Para isso, pode-se utilizar ferramentas de business intelligence de mercado ou até desenvolver ferramentas customizadas. Nesse episódio do Entre Chaves, fazemos um comparativo entre Microsoft Power BI, Tableau, Qlik View e ferramentas customizadas, mostrando vantagens e desvantagens de cada uma delas, e como escolher qual utilizar.Você pode nos acompanhar em www.instagram.com/entre.chaves ou mandar a sua pergunta/dúvida no email entrechaves@dtidigital.com.br Instagram: @entrechaves

Have you been hearing all the noise and excitement about Microsoft Power BI but not sure how it differs to your standard reporting processes? Well, in this episode of Tecman Talks Dynamics, you'll get an easy-to-understand, non-technical exploration of Power BI and how it can help your business based on it's features and functionalities. From essential information such as security and licensing, right through to why it stands out from other reporting tools, it's all covered in these 20-minutes! Hosted on Acast. See acast.com/privacy for more information.

This week we venture into the world of hairdressing - and the 2 programming languages at the core of Power BI.In a nutshell, M is the language used for importing data into Power BI and DAX the language used to manipulate data inside the Power BI data model.Reza Rad  deals with the differences in his blog post M or DAX? That is the question.Chris Webb posts a huge amount of really good material on his blog at Cross Join.DAX Patterns is one of the richest resources for writing DAX measures, by the authors of The Definitive Guide to DAX (also on Amazon US).Once you are starting to get beyond the basics in either language, the external tools such as DAX Studio and Visual Studio Code offer much better development environments for developing your code.The full documentation on DAX can be found here and the documentation for M is here.Check out Luke McAdam's Instagram and Soundcloud for more of his music.If you are only here for the haircare products, you can also order DAX Short and Neat online.You can download Power BI Desktop from here.If you already use Power BI, or are considering it, we strongly recommend you join your local Power BI user group here.To find out more about our services and the help we can offer, contact us at one of the websites below:UK and Europe: https://www.clearlycloudy.co.uk/North America: https://clearlysolutions.net/

Hello Friends! Welcome to the show. This episode of A Shot of Business Central and A Beer Podcast is brought to you by Magnum, B.I. – Magnum, B.I. has teamed with Solution Systems who is a Microsoft Gold Enterprise Resource Planning, Silver Small and Midmarket Cloud Solutions, and Silver ISV Partner to bring your data to life and solve your issues with Microsoft Power BI. This podcast is also brought you by Solution Systems IT Department, who can in only one half hour, make your Office 365 more secure by configuring your Activity Alerts. Where else can you make your Office 365 more secure in only a half hour? With all of the issues today with Ransomware and other cybersecurity attacks it just makes sense to be as secure as possible within the digital world. Contents Section Beer Review Segment: 59 second mark A Shot of Business Central Segment: 8 minute 51 seconds mark Stump Ken Question Segment: 28 minute 48 seconds mark Business Central Feature - Built In CRM Capabilities Segment: 30 minute 24 seconds mark Business Central Apps Segment - Payroll Solutions: 47 minute 43 seconds mark Segment 1 – Surprise Beer of the Month Did you know that the average person drinks 23 gallons of beer every day according to Lost Coast Brewery? Segment 2 – A Shot of Business Central with Ken Sebahar 2019 Release Wave 2 Change History Features Added to the release plan since our last show: Use the Copy document function even when some lines are blocked and Convert tables from C/AL definitions to AL table definition. Stump Ken Question: Is it possible to edit the description on a Posted Transaction? Yes it is and Business Central even creates a change log entry for this. Segment 3 – Business Central Feature: Built In CRM Capabilities Outlook Integration Contact Management Contact Segmentation Territory and Sales Quota Management Task Management Interaction Management Opportunity Management Product Management Sales Quote Management Sales Price Management Sales Tax Management Campaign Management E-mail Marketing Reporting Dashboards User Role and Security Integration APIs Segment 4 – Featured Business Central Apps: Payroll solutions and various types of integrations available Primo Payday Payroll NOW Dialog PayFocus Payroll Greenshades Payroll and HCM ADP Workforce Now Ceridian Payroll

Microsoft Power BI is a wonderful and easy tool to use to create stunning visualizations from your data. In this podcast, we'll show you just how easy it is to make your data dance through visualizations. Watch it here too: https://www.youtube.com/watch?v=tl-W1QvGXtk&feature=youtu.be