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Sakiko Stickley joins Raw Data to share a story that is part inspiration, part revelation, and a whole lot of truth-telling. From the first moment she discovered Power Pivot, Sakiko did not just learn data. She lived it. She rewired reporting systems, survived micromanagers, and navigated the strange realities of big consulting firms, all while quietly proving that one person, one model, and a little bit of DAX can change everything. In this episode, we get an inside look at how a passion for smarter systems can collide with corporate inertia, what it really feels like to challenge the status quo, and why Sakiko believes AI could someday outperform human leadership, not just in data crunching but in ethics and decision-making too. (Spoiler: She might be right.) If you have ever felt like a lone voice in a world that clings to inefficient processes, Sakiko's journey will feel like a kindred spirit calling from across the data universe. Listen in for a conversation filled with hard truths, breakthrough moments, and a reminder that true data people do not just build models. They build better futures.
Ever find yourself overthinking a problem until you've thought yourself right into a corner? Yeah, we've been there too. But what if there was a way to cut through the noise and just know when something is a good idea? Enter Miller's Theorem, a simple but sneaky-effective thought experiment that's been kicking around in our conversations for years. It's the kind of thing that sounds like nonsense at first until it doesn't. In this episode, we unpack how a casual visit to a bougie home décor store in Seattle turned into an existential crisis over tariffs, pricing psychology, and whether customers actually care if their overpriced alpaca throw just got 25% more expensive. But it's not just about economics. It's about how we make decisions, avoid self-inflicted complexity, and maybe stop outsmarting ourselves into bad choices. Also on the table: the contrapositive, the dangers of taking political soundbites at face value, and why abolishing the IRS is an idea so catastrophically bad it might actually make the Great Depression look like a mild inconvenience. It's a wild ride through logic, business, and just enough existential dread to keep things interesting. Listen now, then hope over to LinkedIn and tell us what you think! Got a topic you would like to have Rob and Justin cover? Join our Raw Data by P3 Adaptive Steering Committee and let us know! Also in this episode: Pokerbots, Adware, and Burning Man, w/ Brad Miller & Kai Hankinson
For years, dashboards have been the go-to for business intelligence. Built with the best intentions, loaded with visuals, and meant to empower decision-makers. But are they actually delivering? A recent Reddit thread raised a tough question: "Has anyone here moved away from dashboards as their main source of insights?" It's not the usual “Dashboards are dead” hype. It's a real challenge from BI pros who build them. The problem? Analysts say dashboards can't keep up with how they really explore data. Executives and business users aren't using them as intended, leading to more ad hoc requests, not fewer. The result? Dashboards end up underused, misused, or worse, ignored. In this episode of Raw Data, Rob and Justin cut through the noise and get to the heart of the issue. Are dashboards the problem, or is it how we're designing and using them? And more importantly, what's the right way forward? Also in this episode: Reddit discussion
What happens when you mix fantasy football, data analytics, and a little bit of chaos? You get a conversation that refuses to follow a straight line—but somehow lands exactly where it needs to. Rob Collie welcomes back fantasy football guru Adam Harstad for his third appearance on Raw Data, alongside first-time guests Heather Zimmer and Molly Ferguson, two self-proclaimed newcomers who are anything but casual. They dive into the unexpected ways fantasy football rewires your brain, from strategic obsession to the unshakable belief that your lucky jersey actually controls the game. Adam breaks down the numbers behind the game—how expected points added (EPA) became the gold standard of football analytics and why your gut feeling about a "bad matchup" might just be a statistical illusion. Meanwhile, Heather and Molly prove that fantasy football isn't just a game; it's a full-blown data-driven lifestyle. Whether it's crunching Power BI models for next season or convincing family members to clear out during game time, they've gone all-in—and they're not looking back. But beyond the spreadsheets and the smack talk, this episode is about something bigger: the sheer joy of unexpected obsessions. Whether you're in it for the data, the competition, or just the chance to prove someone wrong (we see you, Heather), fantasy football is a reminder that the best things in life are the ones you never saw coming. Also in this episode: Guide to EPA Protect the Spots with NO Bulletholes, w/ Adam Harstad Epistemic Path Dependency, w/ Adam Harstad
Imagine turning raw data into clear, actionable business insights in just minutes. In this podcast, I'll show you how I use ChatGPT to analyze survey data and uncover powerful opportunities for growth. Whether it's creating detailed pie charts, generating PDFs, or extracting valuable customer insights, this tool is a game-changer for businesses looking to save time and scale. But this is just the beginning—the potential of AI to transform how we understand and serve our customers is endless. Curious how it works and what it can do for you? Go to www.talktoaninja.com and talk to my team.
Highlights from this week's conversation include:Ethan's Background (0:47)John's Background (1:16)Data Teams vs. Engineering Teams (2:04)Career Paths in Data (3:40)Pressure of Large Companies (6:10)Contrasting Industries: Expedia vs. Gallo (9:02)Establishing Trust in Data (11:30)From Sales to Data (16:30)Understanding Success Metrics (18:58)Creating Daily Business Value (23:03)Aligning Data Work with Leadership Goals (29:30)Differences Between Data and Software Engineering (31:25)The Role of Data in Business (35:56)Understanding Data Contracts (39:35)Accuracy vs. Usability in Data (41:51)Observational Skills in Data Roles (44:03)Defining Product in Data vs. Software (47:07)Final Thoughts and Takeaways (52:42)The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we'll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.
This week on Raw Data, Justin's flying solo and catching up with Brian Julius, a true data veteran with a unique journey from government work to AI exploration. Brian's path has been anything but typical. Starting in high-stakes federal roles, he later moved into management; only to find himself pulled back to his roots in hands-on analytics, just as AI started turning the industry on its head. Brian digs into the moments that shaped his career and how curiosity led him back to data. Now, he's diving into AI, pushing the tools to see how far they can go, and discovering where human intuition still has the edge. In this conversation, he and Justin explore what it means to keep evolving in a field that doesn't stand still, and why staying open and curious might just be the most important skill. With Rob away this week, Justin and Brian take a deeper dive into what it's like to adapt to constant change, and why there's more to data than just knowing the latest tools. It's an honest, down-to-earth look at the power of a lifelong learner's mindset in an era of rapid transformation. Also in this episode: DAX/ChatGPT Ideogram
Rob Collie records his final episode from the cozy, sound-dampened basement studio where over 170 Raw Data conversations have taken place. With moving boxes waiting to be loaded onto a truck bound for Seattle, Rob reflects on his unexpected 15-year journey in the Midwest—an adventure filled with personal challenges, growth, and life lessons that only make sense in hindsight. What started as a sudden and overwhelming shift became a series of hard-earned lessons that shaped not just his career but his entire outlook on life. In this episode, Rob explores the universal nature of those journeys where we step away from the familiar, confront unexpected challenges, and return changed. It's not about grand, heroic feats but about navigating uncertainty, learning as you go, and finding meaning in what's hard. Rob shares candid moments of struggle, success, and everything in between, offering reflections on fear, growth, and the reality of being human. This isn't a story of perfection, it's a journey full of wrong turns, lessons learned the hard way, and the humility that comes from embracing both the light and dark sides along the way. Don't forget, if you enjoyed this episode, be sure to leave us a review on your favorite podcast platform to help new users find us.
Send us a textImagine predicting your bioprocess outcomes as easily as checking the weather forecast. Sound impossible? Not anymore. In this insightful episode, we dive deep into the world of digital twins and process models with Fabian Feidl, co-founder and CTO of DataHow.Discover how these cutting-edge tools are reshaping the biotech landscape, from simplifying complex processes to enabling personalized medicine. Fabian shares invaluable insights on implementing data-driven approaches, even for smaller companies with limited resources.Key takeaways:Learn how to start small and build powerful process models that drive real resultsDiscover the game-changing potential of combining AI with bioprocess expertiseExplore the future of personalized medicine through advanced data analyticsReady to revolutionize your biotech workflow? Tune in now and unlock the secrets to smarter, more efficient bioprocessing!Connect with Fabian Feidl:LinkedIn: https://www.linkedin.com/in/fabian-feidl-a52b36b3DataHow: https://datahow.chNext Steps:Wondering how to develop biologics with clarity and precision? Schedule your free consultation to propel your success: https://bruehlmann-consulting.com/assessmentDevelop biologics better, faster, at a fraction of the cost with our Fractional CTO services. Curious? Contact us at https://bruehlmann-consulting.com
Send us a textAre you ready to decode the future of bioprocessing? In this eye-opening episode, we dive deep into the world of digital bioprocess development with Fabian Feidl, co-founder and CTO of DataHow.Discover how cutting-edge process models are transforming the biotech industry, bridging the gap between raw data and actionable insights.Key takeaways:Learn how process models can streamline development, reduce costs, and accelerate time-to-market for groundbreaking therapies.Explore the game-changing potential of personalized medicine through predictive modeling in CAR T-cell therapy.Uncover strategies to overcome organizational and technological barriers in adopting digital technologies for bioprocessing.From optimizing experimental design to enabling data-driven decision-making, this episode is packed with invaluable insights for biotech scientists and leaders. Tune in now to unlock the future of bioprocessing and take your research to the next level!Connect with Fabian Feidl:LinkedIn: https://www.linkedin.com/in/fabian-feidl-a52b36b3DataHow: https://datahow.chNext Steps:Wondering how to develop biologics with clarity and precision? Schedule your free consultation to propel your success: https://bruehlmann-consulting.com/assessmentDevelop biologics better, faster, at a fraction of the cost with our Fractional CTO services. Curious? Contact us at https://bruehlmann-consulting.com
Ever feel like everyone's got an opinion on AI these days? Rob and Justin sure do, and in this episode of Raw Data, they're not afraid to call it as they see it. Fresh off Rob's solo deep dive into AI, they sit down to unpack the good, the bad, and the overhyped in the world of artificial intelligence. No jargon, no buzzwords - just straight talk about what AI can (and can't) do. From chatbots that sound eerily human to the reality of AI "hallucinations," Rob and Justin break it all down in a way that actually makes sense. They're not here to sell you on AI being the next big thing or convince you it's all smoke and mirrors. Instead, they offer a refreshingly honest take on where AI shines and where it falls flat. Want to know how AI might change your job? Rob and Justin dig into real-world examples, from call centers to coding. Power BI folks, there's something in here for you too - turns out AI might be a game-changer for some tasks, but it's not gunning for your job just yet. By the end of the episode, you'll have a clearer picture of what AI means for you, your work, and the world at large. No tech degree required - just bring your curiosity and maybe a healthy dose of skepticism. Got thoughts on AI? Rob and Justin want to hear them. Join the Raw Data Steering Committee on LinkedIn to be part of the conversation!
It's time to dive back into the wild world of AI with Rob Collie. Get ready to cut through the hype and uncover the real deal on artificial intelligence. In today's episode, Rob examines the varied faces of AI, from its potential to revolutionize industries with breakthrough innovations to its ability to streamline our daily activities and make routine tasks more efficient. Have you ever wondered how AI might be influencing your life without you even noticing? Rob brings these abstract concepts down to earth. He provides a fresh perspective on how AI operates silently yet significantly in the background of our daily interactions and decision-making processes. You'll leave this episode with a clearer understanding of how to interact with AI effectively, recognizing its benefits while being mindful of its limitations. Rob's insights will help you navigate the AI landscape with confidence, armed with the knowledge to identify genuine opportunities and avoid common traps. Don't miss out on your weekly dose of tech reality! Subscribe to Raw Data on your favorite podcast platform. Stay ahead of the curve and discover how technology is reshaping our world!
Show notes and full description on YouTube: https://youtu.be/GLgZ9hpJa44
Dive into an intriguing exploration with Shawn Rogers, CEO of BARC US, as we delve into whether Power BI is a stepping stone to mastering Artificial Intelligence (AI) and Machine Learning (ML), or if it's the other way around. This episode isn't just about technology—it's a deep dive into the symbiotic relationship between business intelligence tools and the latest advancements in AI. With his extensive background in analytics and business intelligence, Shawn unravels how Power BI can serve as both a platform leveraging AI capabilities and a beneficiary of AI-driven enhancements. He discusses the dynamic interplay where AI not only complements but also extends the functionalities of Power BI, transforming how businesses interpret and act on data. Listeners will gain a nuanced understanding of how to strategically prepare their Power BI setups to both utilize and enhance AI technologies. Tune in and see firsthand how Power BI and AI are reshaping the analytics landscape together. Whether you're deep into data or just starting to see its potential impact on your business, Shawn Rogers brings a wealth of expertise that bridges the technical with the practical. Are you looking for a podcast that cuts through the noise? Raw Data by P3 Adaptive breaks down complex data topics into business value you can use. From business intelligence and dashboards to AI and digital transformation, we make it simple and relatable. Don't forget to subscribe and leave a review on your favorite platform!
Everyone talks about digital transformation, but it seems like no one really explains what it means... until now. In today's episode, Rob and Justin dive deep to cut through the buzzwords and lay out the reality. They're tackling why digital transformation isn't about making huge, instant changes but rather about the smart, subtle tweaks in areas that usually get ignored but badly need a digital lift. They dive into how leveraging tools like the Power Platform can spark significant improvements, showing that it's the small changes that can really boost efficiency and smooth out your workflow. Ever found yourself wondering how to translate all the chatter about digital evolution into actionable steps? That's exactly what Rob and Justin are unpacking. They're guiding you through how minor, yet clever adjustments can transform your processes. It's all about enhancing the routine, one step at a time. And, as always, if you enjoyed the episode, be sure to leave us a review on your favorite podcast platform to help new listeners find us. EPISODE TRANSCRIPT: Rob Collie (00:00): Hello, friends. In today's episode, Justin and I demystify what is meant by the phrase digital transformation. Phrases like that are one of my least favorite things. Why do I say that? Well, these are phrases that get used a lot. They cast a big shadow. You encounter them almost anywhere you go. That's fine by itself. But in the case of digital transformation, that massive shadow is multiplied by no one understanding what it actually means. (00:30): Now earlier in my career, I used to be really intimidated by things like this. Everyone seems to know what this means because they're using it all the time. I don't know what it means, so should I just pretend and play along like everyone else? But at some point, many years ago, I had this moment where I realized that the Emperor has no clothes. It almost never has clothes. Now when I encounter phrases like this, instead of being like paralyzed or intimidated, I instead start working in my own definition and this process takes time. I've been picking apart and stewing on the definition of digital transformation now for probably the better part of a year plus. Somewhere along the way in that process, I realized that we at P3 are doing quite a bit of digital transformation work, I just hadn't realized it yet because I didn't have a good enough definition. (01:18): Lately, I've been noticing that my definition for digital transformation has reached a steady state. It's not changing over time anymore, which tends to be my signal that I've arrived at a definition that works. Now seemed like a good time to sit down and compare notes with Justin, who's been following his own parallel process of arriving at a definition. I'm very pleased with where we landed. A practical and specific definition that can be reduced to practice with an almost paint-by-numbers type of approach. (01:47): If you asked someone for a definition of something like digital transformation, and by the time they're done giving you their definition, you can't practically boil that down to what it means for you, that's not a problem with you, that's a problem with the definition. A lot of times, people's definitions for terms like this are almost like deliberately vague, as a means of projecting power, as a means of actually controlling you. You'll get a lot of definitions that are engineered to sound smart, engineered to sound authoritative, but not engineered to provide anything resembling clarity. Because if you sound smart, and you sound authoritative but you leave your audience hungry, you create a feeling of dependency. Folks, I just think that's yucky. That's just gross. (02:35): To show you what I mean, I just ran the Google search, "What does digital transformation mean?" The very top hit, enterprisersproject.com, defines digital transformation as "the integration of digital technology into all areas of a business resulting in fundamental changes to help businesses operate in how they deliver value to customers." Did that clear it up? Nope. Boiling that one down, it sounds a lot like you should use computers and use them to make changes. But it sounds smart, sounds authoritative. (03:06): Here's the second result from our old favorite, McKinsey. McKinsey defines digital transformation as "the process of developing organizational and technology based capabilities that allow a company to continuously improve its customer experience and lower its unit costs, and over time sustain a competitive advantage." All right, so that one sounds like McKinsey is almost starting with that original definition and adding additional value to it. They're saying use computers to improve, and to make money, and to compete. If you have $1 million to spend, you can get advice like that. (03:43): All right, with those two definitions, we don't even need an episode. We can just skip it? Because everyone knows exactly what they're talking about. These are the top two hits on Google, folks. Useless. Part of the reason these definitions are useless, again, is because they're designed to be useless. But I also think though, that a lot of times you hear definitions like this is because the people writing them actually cannot boil them down. By the time you come up with a truly useful definition, or a framework, or a guide for understanding a topic like this, it almost by its definition, it's not going to sound nearly as sexy, nearly as smart. It's going to sound relatively simple, mundane. But those are the valuable definitions, the ones that we can actually apply, that make a difference in how we actually view our own business. (04:29): That's what we set out to do in this episode. I think we succeeded, came up with a very practical, applicable definition that you'll never find on McKinsey's website. Let's get into it. Speaker 2 (04:42): Ladies and gentlemen, may I have your attention please? Speaker 4 (04:46): This is the Raw Data by P3 Adaptive Podcast, with your host, Rob Collie, and your cohost, Justin Mannhardt. Find out what the experts at P3 Adaptive can do for your business. Just go to p3adaptive.com. Raw Data by P3 Adaptive is data with the human element. Rob Collie (05:12): Justin, one of the things that we really like to do, I really like to do, I think you do as well, is to take a phrase or topic, and demystify it. Especially phrases that you hear repeated over, and over, and over again, and everyone has to pretend that they understand what they mean. But even when they do, they often have very different pictures in their heads. (05:33): One that I think is due for a treatment, and we've hinted at it once before on this podcast but not with any depth, is digital transformation. What does it mean? Justin Mannhardt (05:45): What does it mean, what does it not mean, all parts in between. Rob Collie (05:50): Starting with the places where I hear it. I often hear it in the context of this is something that's already done. The big talking head analysts at places like Gartner- Justin Mannhardt (06:00): Yeah. Rob Collie (06:00): Will talk about it like it's in the rearview mirror. "The shift to digital, the pivot to digital has forced the following things," so has forced, it's a past tense thing. Which further underlines the idea that well, if it's already happened, clearly everyone knows what it means. They don't stop to define it, they're just tossing that aside as a means of getting to the next point. I find that to be one of the most troubling habits of the talking heads. (06:28): The first few times I encountered this phrase, I didn't really know what it meant. I imagined that it meant switching to ecommerce from brick-and-mortar. Justin Mannhardt (06:37): Yeah. Rob Collie (06:37): I didn't even realize that that was the impression I had, it was just this vague feeling in the back of my head. Justin Mannhardt (06:42): The word digital, I'm just thinking about this now because a lot of times, you'll look at one of these diagrams, it's like, "Your digital transformation wheel includes all these things." You'll see something like, "Move to the cloud." I'm like, "Okay, were the servers with the software, was that software analog or something?" Rob Collie (06:59): Yeah, we've been digital for a long time, right? Justin Mannhardt (07:01): Yeah. Rob Collie (07:01): Most broadly defined, you could say that the digital transformation really got going with the adoption of the PC. Justin Mannhardt (07:09): Right. Rob Collie (07:10): That was when digital transformation started. In the sense that it started in the 1980s, maybe it is something worth talking about somewhat in the rearview mirror, but that's not what they mean. They don't mean the adoption of the PC. Justin Mannhardt (07:23): No. But it's interesting, when you think about the timeline of technology evolution. People say, "Oh, you described it as past tense." Digital transformation has occurred in en masse in market. Now today, it's like AI is here, en masse in market. But the pace at which new things are coming out, what's really happening is just the long tail is longer back to where companies were at in this journey. It's not like the entire industrial complex has been collectively moving to the modern current state across the board. There's companies that are still running SQL 2000, that's their production world still. This isn't something that's happened. Rob Collie (08:09): I think that the big talking head analysts often tend to really only talk about the most elite sub-strata of even their own clients. When they talk about this as something that's completely done, even most of Gartner's paying clients, I would suspect, aren't anywhere close to done. But we still haven't really started talking about what it actually means. (08:32): Let's say it is not the switch from paper and pencil systems to electronic line-of-business systems. Not only do we have the PC, and that's been long since mainstreamed, the notion of line-of-business software, server based software, whether cloud or otherwise, line-of-business software is also I think incredibly well entrenched. We're done with having key business systems running in a manual format. That's long since rearview. That also isn't what they mean by digital transformation. (09:07): Of course, both of those are digital and they were huge transformations, but that's not the digital transformation we're talking about. It's anything that's happened after that. Justin Mannhardt (09:15): Yeah. Rob Collie (09:16): It's a lot harder to pin down the things that happened after that. Justin Mannhardt (09:20): In general, I agree with you because the big blocks, software, the availability of the cloud, not having intensive paper process in most companies, that's largely been accomplished. To different levels, of course. Then, what's left? What's the definition? What are we trying to do? Rob Collie (09:41): Well, if you think of the line-of-business application and the PC, the PC interfaces with all the line-of-business apps. I would say that, and even this is not 100% true, but I would say that the conversion to digital systems is complete, or complete-ish. Justin Mannhardt (09:59): Okay. Rob Collie (09:59): When you look at your business as individual silos. Justin Mannhardt (10:03): Say more. You've got a digital environment for finance, digital environment for sales, is that what you mean? Rob Collie (10:09): Yeah. Core workflows have largely been digital for a while. All the workflows that take place between systems, or the workflows that take place adjacent to a system, those are the things that we're talking about when we talk about digital transformation, going after those workflows. (10:30): Everything we've been doing in the world of business software since at least the 1980s has been digital transformation. Justin Mannhardt (10:38): Yeah. Rob Collie (10:39): But our digital transformation, we're really talking about at least the third chapter. It's not chapter one or two. It's like the next frontier, identifying and going after a new class of workflows that would benefit from essentially software support. Justin Mannhardt (10:56): Right. Rob Collie (10:56): Okay. Now because almost by definition, just by subtraction ... We're saying, "Look, we've got the PC, we've got the line-of-business systems that handle the core workflows within a silo. What's left?" Well, it's almost like a perfect mathematical proof. What's left is the stuff between and outside. (11:14): Given that everyone's mix of line-of-business systems is, I like to say, best of breed, meaning random. It's whatever we decided at the time. It seemed like a good idea at the time. Legacy. Justin Mannhardt (11:25): Yeah. Rob Collie (11:26): You're never going to have anything off-the-shelf that helps you solve the workflows. The middleware problem between your systems is always going to be a custom solution. (11:38): We should give examples of these. When I said outside or adjacent to, there's even workflows that they're not really between systems, they're just the offline portion of working with the system. I'm thinking about a budgeting process, for instance. The world's first budgeting systems were mostly there to record your budget that you enter into it. As those budgeting systems have gotten better, they've included more and more of the human workflow that goes into creating, and evaluating, and kicking the tires before it's finalized. Those offline human workflows, getting more and more structured about them, can make a huge difference. Justin Mannhardt (12:19): Not just structured, Rob, more tightly integrated with the adjacent system itself. I like that adjacency, because if you have a financial system where your budget or your forecast lives, there's a martialing of activity, analysis, input. Then you say, "Okay, we need to get it look like this," and then we put it in the thing. What happens in that processes, you get all sorts of scattered iterations of ideas and it gets loose. But if you could have all that iteration tight, the final submission is already handled or much easier. Rob Collie (12:51): Yeah. Sticking with the budgeting example for a moment, it still echoes one of the themes I mentioned for the between systems, the between silos case. Which is that one-size-fits-all systems, off-the-shelf systems, they really struggle to address all the nuances of your particular business. It's very, very difficult. The more, and more, and more you try to get the offline processes, the human processes brought into the digital workflow, the more an off-the-shelf software package is going to struggle. It's getting further and further away from the safety of the core of the task. (13:28): This is why the Power Platform approach to budgeting and planning is often, in fact almost always, a more effective, in terms of cost-effective, time effective, results effective. The core libraries for doing all of the things that you need to do are basically already there and it's inherently designed to be customizable. Justin Mannhardt (13:48): And very nimble. Even the big players in FP&A software, they're not that great, in our opinion, at the end of the day. But the price points just exclude anybody that's not a very sizeable, formidable company. You're not looking to spend that kind of money if you're even a few hundred million a year type operation. You're just not going to sign up to that agreement. You are left with a middleware type of a problem, that you're either solving with spreadsheets, pen and paper, or something else. Our platform can slide right in there. Rob Collie (14:26): Of course, there is a huge advantage to performing a "digital transformation" on a process like that because the human, offline, pen and paper, sending random emails, getting answers, tracking them, it's incredibly tedious, it's incredibly error-prone. Just super, super slow. It's not like you can perform many iterations. You're not even really going to be able to pull off one iteration and you call it good. But you're just going to miss so much. The budget could have been so much better. If you've got a bad budget, of course you're going to pay for that later. (14:58): That's the adjacent case. Let's talk about the between a little bit as well. What's an example of a workflow that would span across different line-of-business systems but require a human being essentially, or humans, to essentially carry the buckets of water between those different pipes? Justin Mannhardt (15:18): We'll make up a company today, Rob, we'll start a new company and it's going to be called I Manufacture Things, Inc. Hey. At I Manufacture Things, Inc., I've got a sales team. Rob Collie (15:28): Do we make things other than ink? Justin Mannhardt (15:30): No, that's incorporated. Rob Collie (15:32): Oh, okay. Justin Mannhardt (15:32): We just make things. Rob Collie (15:34): Can't help it. Can we be We Manufacture Things Ink, Inc.? Justin Mannhardt (15:38): Sure. Rob Collie (15:39): All right. But anyway, we manufacture things. Justin Mannhardt (15:41): There you go. We've got a sales team and they're using a CRM system, such as Salesforce, or HubSpot, or whatever. They're out there, they're doing quotes, they're tracking opportunities, and eventually someone says, "Yeah, I'd love to buy a palette of ink," or whatever. Our company, we're not using the CRM to deal with the production and fulfillment of that order. Okay, so now there's this process where my order form, let's not use any paper in this example, it's still digital but it lands as a PDF form in someone's email inbox that says, "Hey, Customer Service Rep, here's an order." Oh, okay. Now I'm keying said order into our production system that says, "Go manufacture this thing." Now we need to ship the thing out somewhere, and now we're in our logistics system. (16:33): There's all these little hops between systems. Which technology has become more open, and sure there's things like APIs and code based ways to integrate them, but that's not in range for a lot of companies. That's an example of where you could stitch in these little Power Platform type solutions to just, "Hey, let's map the relevant fields and information from the CRM into the order management system." If there's some blanks that need to get filled in, that's okay. Maybe I'm just starting from a queue of new orders right in the system, and I'm maybe adding three or four pieces to that puzzle instead of all of it. Rob Collie (17:12): Okay. I want to make a global note here. Note that we're talking about this broad topic, digital transformation. We're already way down into very detailed, specific use cases. In my opinion, that's what digital transformation is, it's a collection of all of these individual use cases where things can get faster, more efficient, more accurate. It is the sum of many small things. Each one of them might have tremendous impact. This is the way. (17:46): In this particular example, I've been describing the Power Platform as the world's best middleware for a while now. Even Power BI is middleware. It's beautiful, beautiful, beautiful capability is that it can simultaneously ingest data from multiple different line-of-business silos that have never once talked to each other. The only place that they meet is in a Power BI semantic model. Justin Mannhardt (18:10): Yeah. Rob Collie (18:10): And they play a symphony together that Power BI makes them play. They still have never seen each other, but Power BI is what bridges the gap. Now, Power BI is read-only by itself, it doesn't make changes to any systems. (18:25): In this particular case, it sounds like Power App's and Power Automate's music. Let's just get really tangible here. I know that it's a very specific, but it's a fictional example. But lots of people have almost exactly this problem. Justin Mannhardt (18:39): Yeah. Rob Collie (18:39): Just talk me through what a solution to that particular problem might look like if we implemented it in the Power Platform. How much work, how much elapsed time do you think it would take? Let's dig into this one a little bit. Justin Mannhardt (18:51): If what I want to do is, when we receive an order or close a deal in our CRM, I want that to move some data to another system, let's just say that's assumed. Power Automate can solve this need. Obviously there's a lot of detail, you can look some things up online, or you can email robandjustin@p3adaptive.com and we can trade some ideas here. But there are tons of out-of-the-box connectors, and in those connectors they have what's called a trigger. I could say, "When this happens in Salesforce," for example, "I want to start building a flow." I can say, "Okay, I want these fields, and I want to write them from Salesforce to this destination." Maybe that destination's a database, maybe that destination is another system that Power Automate supports that you can write to. (19:37): It could be just this simple mapping exercise. When this happens over here, grab this data, and create a new record over here in this system. Rob Collie (19:46): Okay. A trigger in this case would look something like, "When a record in Salesforce is marked as a win," we've signed a deal, someone wants to buy a palette of whatever. Then automatically, it wakes up, looks at the record in question that the data associated with the sales win in Salesforce, grabs certain fields out of the Salesforce record, certain pieces of information. Let's keep it simple for a moment, and just pushes them into a simple SQL database or something, that could be stood up in minutes. We don't have to spend a lot of time. Or maybe, we just drop it into OneLake. Justin Mannhardt (20:23): Lots of options there. I think this is a nice little simple example, because when you talk about Power BI, that's a very tangible apparatus. These are the things you set up, and you never really go ... You monitor it of course, but you never really go engage with it. You put the glue in place, and it's magic and it's cool. That's a simple version. (20:44): But sometimes, the data coming from its source is incomplete relative to what it's destination requires to take the next action. In this type of scenario you could either say, "Well okay, once it gets over there, we're just in that system, maybe we're adding to it." But this is where you might insert a Power App into the process. Win a deal in Salesforce that triggers, grab these fields. Let's go ahead and write it over to Dataverse, this is a back end of a Power App, for example. Or a database, or SharePoint, who knows. It depends on what makes sense. (21:18): Now we've got a Power App that maybe has a little work cue that says, "Hey, Rob, you've got new orders." You're either approving them, or you're annotating them with additional information. You're doing the human process, like you were describing before, maybe ensuring some hygiene, completeness, whatever. Then you do something in Power App that says, "Okay, go ahead and kick this down the line from here." Rob Collie (21:40): Yeah. Here's an example. In the CRM system where the sale is being executed, there's probably an address for this customer that is associated with that account, especially if we've done business with them before. But this customer might have many different physical locations. A palette of stuff showing up at the wrong physical location would be a real problem. Justin Mannhardt (22:06): Yeah. Rob Collie (22:08): Even just a sanity check Power App that hits the sales rep back, shows up in their inbox or something, shows up in Teams, somehow there's a cue for them to process these things, where they need to just glance at the order and validate that the shipping address is the right one. Justin Mannhardt (22:28): Yeah. Rob Collie (22:28): Even if that's all it is, that's the only additional piece of information is yes, no, that's the right address. Justin Mannhardt (22:34): Yeah. Or sometimes there's a material that is sold is related to a bill of materials to produce. Maybe there's some choices that need to get made in the manufacturing process, such as what specific raw materials are we going to use for this order? Which machine are we going to produce it on this week? Maybe you're just adding the execution instructions. Rob Collie (22:59): This is interesting because you could stop yourself at this moment and go, "Wait a second. Shouldn't those questions be encoded and implemented into the CRM?" The answer is of course, they could be. But your CRM might not be a nimble place to make those sorts of changes. Justin Mannhardt (23:20): That's right. Rob Collie (23:22): It's also a dangerous thing to be customizing. Justin Mannhardt (23:24): Yes. Rob Collie (23:25): There's a lot of validation and testing that's required. There's a reason why modifying and writing custom code into one's CRM doesn't happen all that frequently. Whereas this process you're describing is relatively safe, by comparison. It doesn't rock the boat. It's between. Forcing these sorts of modifications and customizations into the individual silo line-of-business applications, if that were so feasible, that would already be happening. Justin Mannhardt (23:55): I've worked for companies like this, I've engaged with companies in my consulting career like this, where they have done that. They said, "We've got the talent in-house, so we're going to customize this thing." Then you get into a conversation of, "We'd like to upgrade to the newer version." They realized, "Oh, we can't." Rob Collie (24:18): Yeah. "It'll break out customizations," yes. Justin Mannhardt (24:20): Or sometimes, the programming language that the customizations are done in is not the same programming language in the newer version. While it's possible, if you have the resources, the time, and the money, it becomes a heavier lift. It begs the question, why? Rob Collie (24:36): I was describing the heavy lift being that the original line-of-business system might be resistant to change, resistant to the customizations that you want to implement. You're describing it as also, even if you do perform those customizations, the next major software upgrade is going to be a problem. That rings true for me. I remember the object model in Office- Justin Mannhardt (24:59): Oh, yeah. Rob Collie (25:00): All the VBA solutions that were out there, being incredibly paralyzing in terms of the things we could do with the product, because if you broke people's macros, they wouldn't upgrade to the new version of Office. Justin Mannhardt (25:09): Yeah, been there. Yeah. Rob Collie (25:12): I promise you that, at Microsoft, we took that problem and approached it with a level of discipline that it was probably 10 times greater than the average line-of-business software vendor. Because most line-of-business software vendors see themselves as platform vendors. They want to be considered like that, but they don't want to pay the price of it. So that's good. (25:30): But then, the other thing is is if you built it into the line-of-business system, then inherently you're saying, "Okay, whatever that extra logic is, then it's up to that line-of-business system to then push those records across the wire." The new information has to go from the CRM to the other system. That kind of customization, both ends of the process are going to be very non-cooperative with this. This is another reason why doing this in a lightweight, nimble, intermediate layer provides a shock absorber to the system. Justin Mannhardt (26:08): I like that analogy. Rob Collie (26:09): It's pretty easy for Power Automate, all it's doing is pushing a handful of doing to something and that other something is going to take care of all the validation, all of the retry. Validation with human beings, but also the logging in to the other system and all of that. Coding all of that into your CRM is almost a non-starter. This is why the between workflows have remained so non-digitized. Justin Mannhardt (26:42): Yeah. There's also a lot of tedium should be in play here, too. You have a written process, you look at your SOP documents and you say, "Oh, when this happens, Jan sends an email to Rob." Okay, well we could probably just get the Power Automate to send the email to Rob, if that what needs to happen. (26:59): An example of this is something I built for myself at P3. When a potential new customer reaches out to us, and they want to meet with us and just chat, I wanted a process that reminded myself to go check out who that company is, understand who I'm going to talk. I just had a trigger that said, "When a meeting gets scheduled from this arena, just create a task for me to remember to do this before the meeting." Even little things like that, that are just personally useful, have been really beneficial as well. (27:33): It's much easier to say well yeah, dashboards, charts, graphs, cool. Or even fabric, even though that needs some demystifying still. This middleware, it's invisible, there's so many options. There's 100,000 little improvements you could make with it. Rob Collie (27:48): The world has spent a long time coming around to why dashboards could be valuable. Justin Mannhardt (27:55): They still are. Rob Collie (27:56): Yes. When you say the word dashboards and you show that work product, even in the abstract to someone, the communication of what the value is benefiting from all of that history of the world waking up to the value of dashboards. Honestly, it wasn't that clear 15 years ago. It wasn't clear to people, most people anyway, why they needed them, why they were better than just running the reports out of each line-of-business system. But because it's such an inherently visible work product, it is a lot easier, I'm going to use the word, it's a lot easier to visualize what the impact will be, what it does for you. Whereas these other workflows, until you know that they're improvable, this is why digital transformation is so hard to understand because it is really talking about spaces where it's hard to visualize software helping because it's never been able to help. (28:53): Let's go back to this example where the sale happens in the CRM system. Some information just automatically gets dropped in a data store, off to the side for the moment. There's potentially some Power App clarification. There are human inputs that are required here and you still want a human being to provide those. Justin Mannhardt (29:16): I want to point out here too, it's easy to get into a situation where that data store is simply being read by a report, even a Power BI report. But if the human's going to say, "Yes, no," or add to it, the Power App is just a way better piece to put there. Rob Collie (29:32): Yeah. Let's have this example be like an example that we would look at and smile, be proud of. The Power App is involved. Then when the human interaction is done, they press okay or approve in the Power App. Take me to the next step. Justin Mannhardt (29:49): Well ideally, we are pushing data and information into the next system or workflow. Rob Collie (29:57): This is a two silo problem. We have the CRM system and then we have the manufacturing, work order and shipment system, the fulfillment system. Justin Mannhardt (30:06): The WMS. Rob Collie (30:08): Is that what that is? Justin Mannhardt (30:08): Yeah. Rob Collie (30:09): Okay. We've already covered the first silo. We've gotten the human interaction. Now it's time to send it on to the second silo. How does that work? Justin Mannhardt (30:20): This just comes down to what the point of integration is in the second silo. We could be inserting records into a SQL database, we could be making a post request to an API endpoint. In Power Automate, most of these things are WISIWIG in nature. There is an open code interface if you need to get to that and want to do that, need it. But usually, it's just mapping. You find your destination and it says, "Oh, here's the fields to map to." You say, "Okay," you just drag and drop. It just depends on what your destination system is, but you're just creating a target in your workflow, and the data goes. Rob Collie (30:55): The way I like to look at this is that, even though each line-of-business silo system, they're never really built to talk to each other. Justin Mannhardt (31:04): Right, they need a translator. Rob Collie (31:05): Yeah. The translator and the shock absorber. But at the same time, it's not hard to get the information you want out of one system, and it's not hard to write the information you need into another. But when you try to wire them directly through to each other- Justin Mannhardt (31:23): Yeah. Rob Collie (31:23): That is actually really difficult. You need this referee in the middle, that's able to change gears, like the ambassador between the two systems. When you think about a translator system, an ambassador system, a shock absorber, whatever you want to call it, whatever metaphor you want, you can also imagine an incredibly expensive, elaborate piece of custom software that's being written to do that. That's not what we're talking about. Justin Mannhardt (31:47): No. Rob Collie (31:48): Let's recap. Trigger fires in CRM system, some data gets slurped out related to that sale, dropped in an intermediate location that then powers a Power App. Power App is able to read that information, it knows who to reach back to to get the clarification, the approval, et cetera. It might be multiple people that need to provide some input. Justin Mannhardt (32:09): It could be a whole workflow that lives right there. Rob Collie (32:12): But eventually at the end of that workflow, in this case we'll just assume it's one step, one human being, the sales rep just needs to sign off, then the Power App's job is done. That's the human interaction part. Now we're back to Power Automate, correct? Justin Mannhardt (32:24): That's right. Rob Collie (32:25): Power Automate will notice there's another trigger that the Power App is done with its part, the approval button was pressed. Justin Mannhardt (32:31): Clicked, yeah. Rob Collie (32:33): Then it turns around, and it knows, because again we wire it up ... It sounds like we might be lucky, it's just drag and drop, one time development. But if it's not, it's probably not that much code, to go inject the new work order into the WMS system? Justin Mannhardt (32:52): Yeah, it's the WMS, warehouse management system. Rob Collie (32:53): Let's call that the end of the story for this one integration. Let's say things go incredibly well in this project. We don't really encounter any hiccups. Best case scenario, how long on the calendar would it take for us to wire something like this up? Justin Mannhardt (33:12): Yeah, best case scenario this is something that gets done inside of a week. Rob Collie (33:15): That's the difference. Justin Mannhardt (33:16): Yeah. Rob Collie (33:18): All right. Worst case scenario, both of these systems are more stubborn than usual, the connectors aren't built into the system, and they still have some relatively rudimentary ways of data access, but it's nothing WISIWIG off-the-shelf. We just get unlucky with these two stubborn line-of-business systems. How bad can that be? Justin Mannhardt (33:37): Well, instead of being inside of a week, maybe it's weeks, like two or three. The only reason that gets extended would be okay, instead of pure WISIWIG drag and drop, maybe we are having to do some light handling of adjacent array. But there's tools for that. You can say, "Parse this into fields so I can now drag and drop it." Maybe instead of our Power Automate workflow having three, four steps, maybe there's 10. Some of those steps have a little bit more involvement. Maybe there's some time because we got to troubleshoot a little bit more and make sure we've got it all right. But I think the overall point here is these are relatively light touch on the calendar. Rob Collie (34:18): I had a job in college that I've never brought up on this show. Justin Mannhardt (34:23): Ooh. Rob Collie (34:23): I was obsessed about this workflow for nearly a whole decade afterwards. Where I was working for a construction company, and there's this thing in the construction industry that I'm sure is still a thing, and it's called the submittals process. Where it turns out, when you're going to build a building, there's an ingredients list for a building. You were talking about different material options for manufacturing. So we're going to make a brick exterior. Okay, what kind of brick? There are many different colors, kinds, textures, levels of quality. Literally, the owner of the building, the person paying to have the building built, that owner and their architect, and sometimes their structural engineers, are going to want to hold a physical brick in their hand. Justin Mannhardt (35:05): Right. Rob Collie (35:06): This is the brick that you are going to use. They want to inspect it with their eyes, whatever, they want to feel ... Maybe even run tests on it. Justin Mannhardt (35:14): Smack it with a hammer. Rob Collie (35:16): Right. Then, when you build the building, you better use that brick because they're holding onto the brick, the sample, the reference brick. You think about the number of ingredients that goes into building a building, and the building in question that I was working on helping out with this process was the new chemistry building at Vanderbilt University. It was not just a regular building, it had all kinds of specialized hardware, and exhaust, and crazy stuff that wouldn't be in a normal building. (35:44): There's this long list of materials that need to have submittals produced for them, samples. The requests all go to a million different vendors. You have to ask the subcontractor, the plumbing contractor, what pipe they plan to use. You find out what pipe they plan to use and then you say, "Okay, where do I get a sample of that pipe?" Sometimes you have to send the request for the sample to the pipe manufacturer, or something the subcontracting, the plumber, people will do it for you. Ah! It's awful. (36:14): I was brought in to just be the human shock absorber in this process. I was constantly taking information from one format, copying and pasting it, if I was lucky. Usually, re-hand entering into another one. I have to do this multiple times. I have to do this on the outgoing request, and then the incoming materials coming back. Ugh, and then the shipping labels and everything. It was just they brought me in because they had their assistant project manager for the construction company, the general contractor, on this site. All of this was having to go through him. It turns out, he had another job which was called build the building. Justin Mannhardt (36:54): Just a minor, little job. Rob Collie (36:56): Yeah. The job of push the samples around was a fine thing to subcontract to a college student. I swear, I did 40 hours a week on that for a whole summer, and then part-time for the next two years. That's all I did. Justin Mannhardt (37:13): Make note, students. If you take an internship and you end up like Rob, learn how to do Power Automate stuff and use that for your internship. Rob Collie (37:22): By the way, we already had Lotus Notes with a tremendous amount of customized Lotus Note template for this process. Justin Mannhardt (37:30): Yeah. Rob Collie (37:30): But all that really was was just another line-of-business system that didn't talk to anything. It spit out paper is what it did, it spit out printed slips that announced, "This is your brick." Justin Mannhardt (37:42): Congratulations. Rob Collie (37:44): That would be a really, really challenging digital transformation process today, because not only is it cross system, it's also cross companies. But I'm sure that, if we looked at that process today, we would find things that could be optimized. Justin Mannhardt (37:56): Oh, yeah. Your example reminded me of a really important opportunity in the construction industry or lots of trades. You're talking about people that are out in the field, on job sites, on location, they're not sitting in offices at workstations. All of these things we're talking about, especially these Power App interfaces, can be optimized for mobile. Instead of, "Oh, I'm going to write this down so when I get back to my home office," I can put something on the smartphone. Even if you're not picking from a list of material SKUs or whatever, you can say, "Hey, Rob needs a brick." (38:36): Now this goes back to your central office, and it's into a work queue, and another screen in the Power App, then they can go navigate the vendors and all that sort of stuff, too. That's a great example of where you can just put a little spice on it. Rob Collie (38:50): I said that was the only thing I did in that job, that's not true. I had other jobs. One of them was the plumbing contractor was deemed to be running well behind schedule, they were not installing pipe fast enough, pipe and duct work. They assigned me, the construction company assigned me the job of going out there, walking through the building and seeing how much had been installed, linear feet of various materials, and writing it down. I was terrible at this. It's not a good fit for me at any age, but at age 20, I was just constantly under-reporting how much work they'd actually done and getting them in trouble. Justin Mannhardt (39:32): This does not sound like a good use of Rob. Rob Collie (39:34): Eventually, everyone bought me the little thing that wheels along on the ground and counts distance. What I would do is I'd be looking overhead at these copper pipes that were hanging from the ceiling, and I'd just stand beneath one end of them and walk across the building, tick, tick, tick, tick, tick, tick. But then, what would I do? I would write it down. I'd write down a number. What floor am I on? What side of the building am I on? Which pipes am I looking at? "Oh yeah, 150 linear feet." By the way, have I already counted those pipes? Did I count those pipes last week? I don't know. Justin Mannhardt (40:11): There's errors in the world that have Rob Collie's fingerprints on them. There's a building somewhere that's had some pretty serious issues over the years and it's Rob's fault. Rob Collie (40:21): The plumbing contractor had a pretty good sense of humor about it. They knew I was a youngster. Anyway, really just another example of something that could be digitally transformed today and it doesn't have to be difficult. (40:33): This is not something that's a global, let's go digitally transform the whole company all at once. You can pick and choose some high value examples. And decide if that's a sufficient win for you, you might be encouraged to do it elsewhere. There's no thou shalt do all of these things, there's nothing like that. You get to choose where your cost benefit curve lies. But just even knowing that this is possible I think and what it entails. Demystifying ... The process we just walked through, with today's technology, is not difficult. We're talking, as you said, within a week to several weeks on the worst case end. You do realize a bunch of benefits from that. Justin Mannhardt (41:16): Yeah. I love how well the Power Platform, and this idea of it being middleware, just leans right into an idea that's been around for a long time in companies, which is continuous improvement. You can look at a problem, like the ones we've been describing, and you can go down the path and you say, "Okay, is there a piece of software that would solve or improve this problem?" You could look into something like that. Or you could say, "Actually, we have these other tools that we've been learning how to use and integrate into our organization, and we'll just take a week, or three weeks and make it better." If you decide to replace a silo down the road, like, "Hey, we're going to do a CRM take out," you've not saddled yourself up with this huge level of tech debt. Rob Collie (42:05): Yeah, that's huge. Justin Mannhardt (42:06): Because a lot of these decisions have so much pressure because you're like, "If we don't get this right, then we'll have all this." It's actually okay to be like, "Yeah, we're going to throw this away and build a different one." I think that's an important aspect of these things. You can empower a team of people who are just interested in making things better and it's not this huge sunk cost or investment that you're never going to get back. You're going to get value from it, even if you're only going to leverage it, say for a year. It's like, "Hey, that week was worth it because it eliminated this many errors," or lost time, or whatever. Then we did something else. Rob Collie (42:44): This really hearkens back to something that I struggled to explain to people in my time at Microsoft. I had an intuition, and a lot of people had the same intuition, we weren't doing a great job of explaining it. What I'm going to talk about is the XML revolution. (43:01): XML, and JSON, and all these sorts of things, are just taken for granted today. There's nothing magic about them, it's completely commoditized and that's the way it should be. But those of us who saw this XML thing coming as a real game changer, I think we're really just keying in on exactly this thing we're talking about. The world had been obsessed with APIs up until that point. Every system had an API on it that was capable of doing verby things. Read/write, make changes. These APIs tended to be very heavy. Anyone that's ever written any macro code against Excel will know that the Excel API is incredibly complicated. I'm talking about the desktop VBA comm automation. Go play around with the range object for a couple of days. (43:49): The idea that two systems with good APIs could then talk to each other was still this myth that I think most of the software world believed. Our belief was stubbornly that we just hadn't gotten the APIs right yet. The next standard in API was going to get it done. What XML did, all it was really doing was saying, "Look, there's going to be a data transmission format that is completely separate from any API, and it's super, super readable, and it's super, super simple." It's the beginning of this shock absorber mentality. Since then, we've discovered that it doesn't have to be XML. Justin Mannhardt (44:30): Oh, yeah. Rob Collie (44:31): But the XML thing did eventually lead us down the road of Hadoop, and DataLakes, and all of that. But yeah, this notion that you get the necessary data from system one, and there's this temporary ah, breath that you can take, and you can disconnect the process of slurp from system one and inject new into the other system. You can ever so slightly disconnect those two so they're not talking directly to each other. When you do that, you gain just massive, massive, massive benefits. (45:03): Yeah, it's kind of neat to connect that now. Again, I used to talk to people all the time like, "No, XML is magic. It's going to blah, blah, blah." People would go, like my old boss did, again would be like, "I don't get it. Why is it magic?" I'd be like, "Well, it just is, man. You don't understand." He beat that out of me. It was one of the greatest that anyone's ever given me. By the time I was done with him, I could explain why XML was valuable but not at the beginning. I certainly didn't envision where we've landed here. (45:27): Okay, so I think this was pretty straightforward, right? If you want to identify what digital transformation means for your organization ... This actually really parallels the talk I gave on AI the other night here in Indy. Justin Mannhardt (45:39): Oh, right. Yeah. Rob Collie (45:40): Don't talk about it from the tech point of view. Justin Mannhardt (45:43): Yeah. Rob Collie (45:43): Think about it from the workflow point of view. Where are the workflows in your company? What's really beautiful about digital transformation is that we can provide this extra guidance that, what are the workflows that happen between systems or adjacent to systems? Justin Mannhardt (46:00): Yeah. Rob Collie (46:00): It helps you focus on what we're talking about. It's not often you get a cheat code like that, so you can really zero in on something. (46:08): I suspect that once you have that algorithm for looking, you're going to find lots of things. The Power Platform makes it- Justin Mannhardt (46:18): Ah, it transforms them in digital ways. Rob Collie (46:20): It puts that completely within range, completely within budget in a way that you wouldn't necessarily even expect. It's just kind of magic. It's the same level of magic that you'd get from Power BI, but in a read/write workflow sense. Justin Mannhardt (46:33): Between and adjacent to, that's magic. That's a magic algorithm because I bet a lot of people, when you say digital transformation, they are thinking on or within the system, not between it. Rob Collie (46:45): Yeah. It's another one of these marketing terms that's almost deliberately meant to be mystical. Everyone's supposed to pretend that they know what it means, but then it's left for all of us out here in the real world, close to where the rubber meets the road, to actually do something real with it. (46:59): I wonder what percentage of the time people use the phrase digital transformation, if you scratch the surface, you'd find that they were completely bluffing? Justin Mannhardt (47:07): Yeah. There's a category of thinking digital transformation, or even data analytics, where there's just all these abstract, conceptual statements or diagrams that mean very little. Let's just zoom into an actual problem, even if it's a little one, and fix it. Then, we'll go to the next one and fix that. We don't need big, fancy frameworks, teams, and steering committees to do any of that. Rob Collie (47:35): I've got another example. Justin Mannhardt (47:36): Oh, yeah? Rob Collie (47:37): It's one that we've implemented here at P3. We have these Power BI dashboards that measure the effectiveness of our advertising. It turns out that advertising in particular on Google AdWords is not a global thing. It's the sum of many micro trends, your overall performance. It's highly, highly, highly variable based on which keywords you're matching against, what kinds of searches you're matching against, and what kind of messaging you're presenting to the user of Google. The only way to improve, most of the time, is to improve in the details. (48:11): All right. For a while, we had this workflow where we'd identify an intersection of ads that we were running and what we were matching up with, in terms of people's searches. We'd identify a cluster of those that, I'll just keep it simple for the moment, where we'd say, "Look, right now we're providing the same message to a bunch of searches that aren't really the same search and we need to break this out, and provide a more custom, tailored message to each of these individual searches." We'd mark something for granularization. (48:43): But originally, what we would do is we were looking at this report, we'd write down essentially this intersection and say, "Go split that out." Justin Mannhardt (48:51): What did we do? Rob Collie (48:52): Immediately, we'd lose all track of what did we even decide to do? Because then someone had to go over to totally Google AdWords system and enter new ads, and break this thing out. Even knowing whether that had happened, producing the work list of things that needed to happen, was very difficult because we were in the context of a Power BI dashboard that didn't do any communication elsewhere. We couldn't track what our to-do list was. Except again, completely offline. We built a Power App and embedded it into some of these reports. You'd click on the thing you'd want to break out, the Power App would pick up that context, and then we'd just use a little drop-down and say, "What do we want to do to this?" We're going to mark this for granularization. (49:39): That did produce us a to-do list, that then could also be re-imported back into the report, so that we could se that we had marked that one to explode it out. We didn't have to look at it again, and we also in the reporting, could see whether that splitting up had been done because you'd come back to the Power App and say, "Done." Even better, you'd enter the IDs of the new groups, so that you can say, "Hey, this one is now superseded by these." (50:07): Now we never got to the point of directly writing back to Google AdWords to make the changes. That still happened offline. We certainly could have imagined a world in which a Power App, a much more elaborate process was built that, then separately from the dashboard, would prompt you to write the new ad copy and things like that. You get to choose where the 80/20 is in your process. For us, the 80/20 was recording the list and tracking the lineage while we're in the context of the report. That was a big deal. Justin Mannhardt (50:39): There are over 1000 pre-built and certified connectors available for the Power Platform. Rob Collie (50:46): That's it? Just kidding. Justin Mannhardt (50:48): They're adding things all the time. We live in a SaaS world. All these things, they're real. Rob Collie (50:53): Yeah. That's a really critical point about Microsoft, is that they have realized that they are the middleware company. Justin Mannhardt (50:59): Satya is all about it. Rob Collie (51:00): Yes. In the Bill and Steve era, this was not Microsoft's game. They wanted to own everything. Justin Mannhardt (51:06): Yeah. Rob Collie (51:07): In Satya era, it's more like, "No, we want to work with everything." Justin Mannhardt (51:11): It's great, I love it. Rob Collie (51:12): Just recently, as I've gone down this path myself, reverse engineering in my own little way what this term means and coming to the conclusions that we have, I've realized that we are a digital transformation company. It's not the only thing that we do. Is read only Power BI middleware, is that digital transformation? Well, probably. By the strictest definition, probably yes, but not by the spirit of the law. The spirit of the definition means a read/write workflow. I'd mentioned in this last example, Power BI can be part of a read/write workflow. There's no reason to sideline it. In the other episodes, where we talked about improvement and action is the goal, how a Power App can be added to a Power BI report to help you take action on what the report is telling you. But just the broader Power Platform, Power Apps and Power Automate in particular. We do have a handful of clients where, most of the work we're doing is digital transformation work. Justin Mannhardt (52:08): Right, this type of work. Rob Collie (52:09): The adjacent in between that we're talking about. Even though we're mostly thought of as a Power BI company, as we're doing our next round of website rebuild, we've 100% put a digital transformation page on our sitemap. It'll probably use some of this language we're talking about here. Digital transformation, what does it mean? It is both not that special of a term, there's no rocket science to it, and at the same time, there's a lot of value to be realized from it. Justin Mannhardt (52:36): Totally. Here's a fun little call back to our origin story as individuals and as a company. We spend a lot of our time helping, for example, like the Excel analyst move over to Power BI and we're trying to solve these middleware gaps. That's why I think, for us, it's just been quite natural to provide these types of services and capabilities to customers as we've grown because it's the same type of person that's spirited to solve these types of issues, and the technology, and the openness of it brought everything in range. It's fun to reflect back on how broad we can show up to a customer beyond just dashboards. Rob Collie (53:22): Yeah. It's a miracle and a testament to what Microsoft has pulled off. You can certainly imagine a world in which they could enable that uptempo, highly efficient, what we call faucets first methodology for dashboards. Justin Mannhardt (53:22): Yeah. Rob Collie (53:38): And stopping there. To extend it to something like workflow and applications, and have implementation of these solutions feel very, very, very similar. Justin Mannhardt (53:50): Yeah. Rob Collie (53:50): It's completely compatible with our ethos. It's almost like I didn't even notice when we made that transition into doing both. It sneaked up on me. That's a good sign. I feel a little silly that it took me a while to digest it, but I love that it happened organically without us having to go- Justin Mannhardt (54:10): Right. Rob Collie (54:11): Pick up another toolset from another vendor, or change our hiring profile dramatically, or anything like that. Justin Mannhardt (54:18): Yeah. Now, we've got some of these cool projects where you've got maybe someone that their expertise is more on the Power BI side, working right alongside someone whose expertise is more on the Power Apps, Power Automate side. They're just moving in lockstep with the same customer, closing these middleware gaps, building the reporting, and the action lives around it. It's that whole thing working together that makes it all really cool. Rob Collie (54:41): I'm also developing an intuition that AI, maybe not the only application of AI, but I think a lot of the surface area of where we will find AI to be useful, plugs into this digital transformation thing, the adjacent in between. In particular, in sub workflows within the overall workflow. Justin Mannhardt (55:03): Yes. Rob Collie (55:03): Did your reaction fit that? Justin Mannhardt (55:06): Yes, totally. Totally, totally, totally. Yeah. Rob Collie (55:09): Then, we're good. I think it's easy, with dashboards, with BI, to imagine the global. Going from a non-dashboard company to a dashboard company, it's very easy to imagine that as a global thing and it's probably the right thing. Any place where you're flying without the information you need in a convenient, easy to digest format, let's go and get that. Even there, with the transformation to a data oriented organization, a data driven culture, you still pick places to start. Justin Mannhardt (55:39): You got to start somewhere. Rob Collie (55:40): This other thing, digital transformation is a little harder to imagine is a global thing, and that's fine. I think AI's the same way. You should not be thinking about AI as a global transformation for your business. Just like digital transformation, it is a go find particular places where you can score these wins. Speaker 4 (56:00): Thanks for listening to the Raw Data by P3 Adaptive Podcast. Let the experts at P3 Adaptive help your business. Just go to p3adaptive.com. Have a data day.
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On this special episode, we welcome the legendary Matt Allington back to the podcast. As one of the original giants in the Power BI community, Matt is gearing up for retirement and has chosen to share his invaluable insights and experiences with us once more. From his groundbreaking work at Coca-Cola to becoming a trailblazer in the Power Platform space, Matt's journey is filled with lessons, challenges, and triumphs that have shaped the world of business intelligence. Today, Matt delves into the complexities of the Semantic Model, sharing stories from the trenches of solving data dilemmas that seemed insurmountable. He offers a peek into his transition from corporate life to a highly sought-after consultant, revealing the strategic thinking behind his success. But it's not just about the challenges; it's about the future too. Matt discusses the evolving landscape of the Power Platform and the exciting possibilities brought on by Microsoft's new Fabric rollout, providing listeners with a rare glimpse into the future of data analytics through the eyes of a seasoned expert. This isn't just another podcast episode; it's an opportunity to learn from a true pioneer in the field. Matt's reflections on his career, the evolution of Power BI, and his predictions for the future are more than just insights—they're a roadmap for anyone looking to make their mark in the world of business intelligence. As Matt prepares to bid farewell to his professional career, we invite you to join us in celebrating his incredible journey on "Raw Data by P3 Adaptive." It's a conversation filled with wisdom, inspiration, and a bit of nostalgia that you won't want to miss. Also in this episode: This aggression will not stand: The Big Lebowski The DAX Draft One of the world's most Amazing Humans, w/Matt Allington
In this week's episode of Raw Data, Rob takes the mic solo to dive into a riveting topic, sparked by Zach from our LinkedIn Steering Committee. The question at hand is a pivotal one in the rapidly evolving realms of analytics and AI: How essential is deep industry or domain knowledge in this tech-forward era? As we race through technological advancements, is there a shift in focus from the deep-rooted sector-specific expertise to a broader emphasis on adaptability and mastering new tech tools on the fly? Rob delves into this debate, weighing the traditional value of domain expertise against the rising tide of tech fluency and the concept of Just-In-Time (JIT) training. He suggests we may be on the cusp of a significant transformation in professional expectations, where the agility to learn and implement new technologies swiftly could eclipse the longstanding reliance on industry-specific knowledge. Further, Rob illuminates how platforms like Power BI are leveling the playing field, allowing professionals to transcend their industry silos and innovate in ways previously unimaginable. It's a discussion that not only broadens our understanding of the current tech landscape but also challenges our perceptions of what it means to be an expert in today's fast-paced world. But this is just the beginning. Dive into the full discussion in this week's episode, and then join us over at the Raw Data by P3 Adaptive LinkedIn Steering Committee to share your own insights. Are you experiencing this shift towards tech adaptability over industry knowledge in your career? Let's continue the conversation, pooling our experiences and insights as we face these exciting changes together. And if you enjoyed this episode, be sure to subscribe for new content delivered weekly! Also in this episode: I drink your milkshake – There Will Be Blood Environmental Engineering Meets the Data Gene w/ MS MVP Alice Drummond Timely Supply Chains and Double Data Genes, w/ Jon Perl
Welcome to this week's edition of Raw Data, where we're diving into a timely discussion on the evolution of AI and its comparison with revolutionary technologies of the past, like Power BI. This episode features host Rob Collie and co-host Justin Mannhardt engaging in a deep dive into the hype cycles that have surrounded transformative tech over the years. Drawing on Rob's rich experience, we take a step back in time to explore the transformative journey of Power BI, a tool that redefined the landscape of business intelligence by making sophisticated analytics accessible, swift, and economical. This story of innovation and foresight is juxtaposed with the current state of AI— a field bustling with potential yet shrouded in a mix of anticipation and ambiguity for many businesses. In this episode, Rob and Justin dissect the realities behind the AI hype, urging a pragmatic approach towards technological adoption. They highlight the importance of mastering existing analytics tools like Power BI, which many organizations have yet to fully leverage, before being swept up in the whirlwind of AI enthusiasm. This practical perspective is essential for businesses aiming to make meaningful advancements in their digital transformation journey. As we navigate these discussions, the episode serves as a beacon for those looking to understand the true impact of AI in the context of proven technologies. It's a call to action for focusing on tangible business problems, employing a strategy that prioritizes impactful solutions over the allure of the latest tech trend. If you're excited by the intersection of AI, analytics, and business strategy, you can't miss this episode. And as always, if you enjoyed this episode leave us a review on your favorite podcast platform. Your feedback helps shape our content and reach more listeners. Additionally, for those eager to dive deeper and share your thoughts, we invite you to join our LinkedIn Steering Committee. Your insights and suggestions are what shape our journey forward, illuminating paths to future episodes and discussions. Want to know more about Fabric and AI? AI Isn't Scary When You Break it Down: Five Use Cases Approachable Today Ten Business Upgrades Within Your Reach in 2024 Fabric - It's GA (GO) Time! Should We Be Skeptical About Microsoft Fabric? Mailbag #1: Python, Fabric, and Mullets oh my! Fabric is Nothing, But it's also Everything!
Welcome to this week's journey on Raw Data by P3 Adaptive, where we're thrilled to feature Daniel Harley, a beacon of innovation at the intersection of finance and modern data analytics. As Director of Client Services at P3 Adaptive, Dan exemplifies the bridge connecting the steadfast world of traditional finance to the dynamic and ever-evolving landscape of Power BI. In conversation with Rob Collie and Justin Mannhardt, Dan shares details on how Power BI is revolutionizing the way we approach the foundational elements of financial reporting: the Profit & Loss, Balance Sheet, and Cash Flow Statement. From his early days navigating the depths of finance to his journey to expert in the data analytics sphere, Dan's story is a testament to the transformative power of embracing modern analytical tools for enhanced insight and strategic foresight. In today's episode, Dan also shares insights from his direct involvement in transforming financial reporting for a company navigating through substantial changes. This discussion provides a practical look at Power BI's capacity to not just streamline operations but to elevate financial data as a pivotal asset in strategic decision-making and planning. For anyone interested in how finance and technology come together, this talk highlights the future of financial analytics and shows how tools like Power BI are key to making better business strategies and improving how companies work. As always, if you enjoyed the show, we encourage you to subscribe to Raw Data by P3 Adaptive on your preferred podcasting platform. Want to engage with us directly? Join our Raw Data by P3 Adaptive Steering Committee on LinkedIn and share your opinions and suggestions for future episodes and guests!
Do you remember when Ryan Spar joined us a couple of weeks ago to discuss that amazing hockey stats dashboard? Well, we're heading back onto the ice to delve deeper into that theme, but with a new twist. This time, we're homing in on something incredibly crucial, yet often elusive in the world of data and beyond: the art of really listening to what people have to say. In today's episode, we circle back to Rob's Amazing Indy Inline Hocky Stats Dashboard. Initially, it captivated us with its insightful analytics and dynamic visuals, but the journey didn't stop there. With an unexpected gap in his schedule, Rob took the opportunity to share how the project is evolving, fueled by ongoing feedback from players and data enthusiasts alike. He reveals how the transition from merely displaying data to actively incorporating stakeholders' feedback has elevated the dashboard, making it a more meaningful and inclusive tool for the entire hockey community. So, strap in for an episode that seamlessly blends sports, data, and the power of effective communication. Discover the transformative impact of not just showcasing numbers, but truly understanding and responding to the needs and voices of those involved. If this episode resonates with you, we'd love to hear your thoughts. Don't forget to leave us a review on your favorite podcast platform and and be sure to stay tuned for more Raw Data stories! Also on this episode: Barton Fink
In this age of fake news, disinformation, shadow banning and government agencies like CISA aiming to manipulate what it calls our “cognitive infrastructure” it is hard to answer this question. To explore how we can go about finding what's true and what is not, Jim Agresti, the founder of Just Facts, returns to help clarify our thinking. Just Facts is an institute dedicated to publishing facts about public policies and teaching research skills using exacting Standards of Credibility to determine what constitutes a fact and what does not. The vision of Just Facts is to equip people with facts “to make truly informed decisions. This means facts that accurately and fully convey reality—not pseudo-facts, half-truths, or talking points.” “Do you have the information you need to make quality decisions in your life and in the voting booth? You can rarely get the full picture of what something is about from an 800-word news article or commentary. You have to dig much deeper,” explains Jim. In this episode we talk about Just Facts exacting Standards of Credibility that is uses to produce research that is accurate and truly informative. Here's a summary: Comprehensiveness: It's a simple thing to distort reality by selecting only facts that align with partisan views while ignoring others. Half the truth can amount to a total lie. Primary Sources means identifying credible primary sources instead of secondary ones that often reflect an “interpretation” of the facts instead of the actual facts. Rigorous Documentation means documenting facts far more thoroughly than academic standards require, footnoting every fact with creditable sources, and citing quotations or data exactly. Harvard's Claudine Gay should have consulted with Jim. Raw Data presents data in its rawest comprehensible form to safeguard against data corrupted by errors, rhetorical mischaracterizations, or statistical manipulation. Verification uses different sources, methodologies, and calculations to double-check verifiable facts. If they'd done this, NASA wouldn't have lost a Mars Climate Orbiter because they mixed up metric and English units when coding the mission software. Clarity means using language that is precise and unambiguous in order to minimize the potential for misinterpretation. Balance: In this age of raging partisanship, almost no one does comprehensive accuracy or tries to balance views. Instead, sound bites are laced with rhetoric and misinformation, and opposing views given short shrift. Of course, not everyone is interested in a disinterested discussion rooted in a dispassionate comparison of facts. Vladimir Lenin - and most all on the Left who have followed him - said that “moral and factual considerations are irrelevant when it comes to how to sway the public most effectively. Our morality is entirely subordinated to our interest of advancing communism.” So the question we have to ask is: even if we know what's factual and true does it matter in today's world of raw power politics? Listen in to decide for yourself.
Do not adjust your streaming platform, it is indeed a special Wednesday edition of Raw Data! Today's guest is Ryan Spahr, an Indy local with a double life...he's a lawyer AND a community leader! Ryan is partly responsible for the creation of Indy Inline Hockey, a recreational hockey league that also revitalized a community park from an unusable shell to a vibrant hub for all sorts of events! Rob, being Rob, discovered that the league was seriously lacking in any sort of reporting and has now introduced the Power Platform into the mix and has created THIS neat dashboard! In this episode, Rob and Ryan discuss how this all came to be, feel free to play along at home and click around Rob's creation!
Roll out the virtual carpet, devoted listeners! This week on Raw Data, we've got a standout guest - none other than Austin Senseman. You might recall Austin from the show's early days when he was part of the Power Pivot Pro crew. Well, he's returned to the P3 hub, just as we're ramping up the intensity... and he's armed with tales from his entrepreneurial journey since going solo. In this episode, Rob and Justin dive deep into Austin's sensor technology startup, Conserve, and his recent adventures scaling mountains. But the conversation keeps gravitating towards Austin's first passion - you guessed it, DATA. They delve into all things Power BI and the astonishing pace of innovation emerging from Microsoft. Rob and Austin take a stroll down memory lane, reminiscing about the enchantment of those initial Power Pivot days and getting hyped about the thrilling transformations ahead for businesses with Power BI and Microsoft Fabric. So fasten your seatbelts for a high-octane session with an old comrade who's experienced the startup world from both sides and continues to return to his P3 family. As usual, if you enjoy the show, drop us a review on your preferred podcast platform to help new listeners discover us. And don't overlook hitting the subscribe button for fresh episodes delivered directly to your inbox!
Are you feeling stuck trying to tap into your organization's data? Today we're diving headfirst into 2024 with a discussion with Kristal Searle, Director of Strategic Operations for Coleman Oil that can illuminate the path that gets you unstuck. Listen in as Rob and Justin chat with Kristal Searle, a finance leader turned digital transformation driver. Kristal shares her journey from tentative Power BI beginner to confident head of BI strategy, crediting the P3 Adaptive approach for accelerating her capability along the way. Through hands-on projects, Kristal saw firsthand how Power BI could provide real digital action versus more typical mystical transformations. We discuss false starts with other tools, the power of rapid iterations to prove concepts, and what it takes to build ambition for organization-wide change. Kristal offers sage advice on getting unstuck - from both data and outdated processes - to drive profitability. While respecting her accounting roots, Kristal has grown to appreciate and harness the similarities between the rhythms of month-end close and the potential for real-time reporting. With longtime P3 partners by her side, she transformed not only systems but also her personal mindset and skills through tangible steps. The moral of the story: your title doesn't define your actual skills, duties, or goals. As you prepare for the inevitable changes of 2024, this episode can give you a heads up on the competition by sharing real stories of how P3 Adaptive and the Power Platform can help enable and realize your BI and Improvement ambitions, letting you, not the tools, be the star in the process. As always, if you enjoyed this episode, be sure to subscribe now so you never miss an episode of Raw Data by P3 Adaptive! And please leave us a review on your favorite podcast platform to help other listeners find our show.
Check 123,123….is this thing on? Oh No there's NO SHOW this Friday???? Don't worry we have 4 shows in a row starting at 4:20 pm MT Saturday 12-30-23 till 12-31-23 4:20 am MT. We will go “Around the World “12 hours straight checking with our CannaFriends as they prepare to say goodbye to 2023. Special Guest-Hosts Kyle from @exotixtech and batting cleanup @gogetmommysmeds the Landlady herself Katie will help us push through for the last few hours …. Here's a taste of who you will see @yoproductsllc @805lance @randylanier27 @greenbroz_inc @jerome_baker @jamesloud @dannydankoht @boristhepotguy @therealdukediamond @roland_endblazin @nacho_rkiemseeds @rustbrandon @kaliedescope_collective @wallyzamwa @ryanextracted @the_real_jamez_bean and many more via zoom. We also have in studio guests @biblebeltbuds_ok Drew Henderson Coming in to blow our minds with his @smartgrow.farm AI driven grow technology that will separate you from the rest. As we progress our growing techniques it's gonna be the nuances that might make or break your company, and we all know that growers hate to be told what to do by other growers but who can argue with RAW DATA. Also Joining Drew friend of the show @paul_n_chuck2.0 The Midz Masta himself Midztao. We will get some updates on @sunscapeled as he has been installing lamps and upgrading rooms all over the country. @view_askew Travis Tyler Fluck will also be in studio to update us on his Psilocybin Gifting event aimed a connecting myco enthusiasts with the myco curious. A perfect event for this time of year. So whether you join us for an hour or two or hang with us the whole time …..
Welcome to another riveting episode of the P3 Adaptive podcast, where we cut through the hype and take a deep dive into the enigmatic world of Microsoft's Fabric. Today, we confront the burning question: Should we be skeptical? In recent episodes, the buzz around Fabric has been deafening, with phrases like "brand new direction" and "super ambitious" lighting up the analytics sky. But here, right now, we plunge headfirst into the heart of the matter. Is Fabric truly the transformative force it purports to be? Will your hard-earned skills continue to shine in this evolving landscape? Does Fabric demand an unyielding commitment to learning just to stay in the game? Justin and Rob don't pull any punches. Instead, they join forces to present an unfiltered perspective, laying bare both the promises and potential pitfalls of Fabric. They acknowledge that, like any cutting-edge technology, there may be growing pains and challenges to navigate. But that's not all. They also unveil Fabric's secret sauce, revealing how it transforms Power BI into a formidable hub for advanced analytics, all on your terms. If you've ever found yourself torn between your trusty old skills and the allure of new technology, this episode sets the record straight. It's about not just adapting but thriving in your BI career, democratizing enterprise-class analytics along the way. The bottom line: Fabric amplifies your expertise—it doesn't diminish it. So, join us and embrace evolution! And, if you're enjoying the podcast, please take a moment to leave us a review on your favorite podcast platform to help other listeners find us here on Raw Data by P3 Adaptive. Also on this Episode: The Princess Bride's Rodents of Unusual Size (ROUS) Monty Python Royal Society for Putting Things on Top of Other Things
The first Jam Session episode of Raw Data features, you guessed it, all things Microsoft Fabric! Rob and Justin discuss MS Fabric and field a few of your most burning Fabric questions and unravel them-please keep those questions and topics coming!
Today, Carter and I discuss the price research on the current graded and raw football card markets, NFL takes, rumors, and information you need to know to make sure you're maximizing your edge in the hobby.
The episode discussed on today's Sound Judgment is Famous & Gravy: Poetic Justice (Maya Angelou). Amit Kapoor is co-host and co-creator of the podcast Famous & Gravy. Amit has spent nearly two decades in management positions for media organizations, both commercial and non-profit, ranging from Match.com to Wikipedia. He is also a stand-up comic, former Wienermobile driver, video game voice actor, and a certified meditation instructor. Amit has an MBA from The Wharton School at the University of Pennsylvania and a BA in American Studies from The University of Texas.Michael Osborne is co-host of Famous & Gravy – a conversation about quality of life, one dead celebrity at a time." Michael has over twelve years of experience as a podcast creator and host. He currently heads 14th Street Studios, a podcast production and marketing firm based in Austin, Texas. Michael started his first podcast, Generation Anthropocene, while he was finishing his PhD in climate science at Stanford. After completing his degree, he spent five years running a podcast incubator for Stanford. During that time he created his second show, Raw Data, which partnered with PRX. In his role at 14th Street Studios, Michael specializes in creative development and podcast marketing for individuals and organizations.Websites14th Street StudiosFamous & Gravy Socials:Facebookhttps://www.facebook.com/profile.php?id=100076654703402LinkedIn linksFamous & GravyMichael OsborneTwitter handles @famousandgravy@osbornemc
Today, on Raw Data by P3 Adaptive, we have the privilege of chatting with Steve Orrin, the Federal Chief Technology Officer at Intel Corporation. Steve's role is truly remarkable, as he plays a pivotal part in helping the US government embrace the latest technologies, including artificial intelligence, cloud computing, and high-performance computing. His collaboration with federal agencies enables the translation of cutting-edge tech capabilities into real-world solutions that support their crucial missions. And if that's not impressive enough, Steve also leads innovation projects that explore the potential of emerging technologies like quantum computing. Wow, talk about an impressive set of credentials! With nearly two decades of experience at Intel, Steve possesses a wealth of knowledge about the evolving complexity of technology. The intricate web of options and interdependencies can often be overwhelming for many of us. During our conversation, we delve into how this complexity affects progress, particularly when it comes to information sharing and security. While Steve's government work mainly involves unclassified discussions, he holds high-level security clearances. His exposure to countless intriguing insights (that he can't share publicly) adds a 007 layer of intrigue to this conversation. Don't worry, though, Steve generously provides us with a fascinating glimpse into his work at the intersection of government, technology, and national security. Get ready to enjoy this enlightening discussion! Also in this episode: Intel and Quantum Computing E.T. the Extra-Terrestrial Clockwork Orange
It's time to get technical this week with Survios Co-Founder and CTO Alex Silkin! Join us for a deep dive into VR gamedev in Unreal Engine as we cover decisions and challenges faced by Survios while making some of the market's biggest VR games like Raw Data, Creed: Rise to Glory, Sprint Vector, and an upcoming Aliens title. 0:00 - Welcome back/intros. 1:55 - How Alex approaches game design. 5:38 - VR games as fitness tools. 7:31 - Player fatigue and session playtime. 13:41 - Designing gameplay loops around fatigue. 14:50 - Survios "must-haves" when designing for VR. 20:33 - What Survios considers before production. 22:27 - Flat screen games vs VR. 29:45 - Lessons Survios has learned. 33:31 - Survios' standards with VR design. 40:51 - Survios' testing process. 45:29 - Collaboration between designers and engineers. 53:06 - Survios' "must-have" tools. 1:05:20 - Best practices for architecting systems in Unreal Engine. 1:27:32 - Shift from blueprints to next steps. 1:33:12 - Alex's thoughts on Nanite/Lumen. 1:38:32 - Mistakes made and lessons learned. 1:44:28 - Lightning Round
Welcome to Raw Data! In this episode, we chat with Paul Ray, a Microsoft Product design manager with over 20 years of experience in software design. Paul is currently working on educational experiences for students and educators around the world! But what sets Paul apart is his unique journey to the tech world. As a teenager, he attended military maritime school with dreams of sailing the world. But after realizing the reality of working below deck in the engine room, he hit the road and traveled the country, gaining skills and experiences that eventually led him to Microsoft. Now, he's using his skills to develop products that help people learn, work, play, and live better, including a game-changing product for education that's helping teachers improve their students' reading scores! With his strong track record of delivering innovative user experiences and putting the user first, Paul is the perfect person to talk to about the importance of human-centered design. So, grab your favorite beverage and join us as we chat with Paul about his philosophy on human-centered design, and how he's using tech to drive positive outcomes. This episode is packed with insights, humor, and a few surprises along the way, so tune in now! As always, if you enjoy this episode, be sure to leave a review for us on your favorite podcast platform to help other users find us. SPECIAL PROGRAMMING NOTE - We're going to take a little Spring Break hiatus, new episodes drop May 9th! Also in this episode: Fay Wray in King Kong Are You Jimmy Ray - Jimmy Ray Song Beautiful disaster song Bill Gates Pie to the Face Attribution bias Dexter The Impostor Syndrome World Championships, w/ Jocelyn Collie State University of New York Maritime University Confessions of an Advertising Man by David Ogilvy John Mulaney Got Cheated Out of $120K Football: The Southern Culture AI DJ Ice Ice Baby (now it's stuck in your head too) The Firm Louis CK: Wifi on the plane Bing: The Logo History (really) Good Design is the Cake Not the Icing w/Brad Weed Only Amateurs Name Drop Steve Ballmer w/ Mike Nichols The Great Football Project A Whole New World Microsoft Education
How are you enhancing your sales and lead pages? One of the things you should look for to track your business is data. However, the reality is that most of the time, data is boring which makes it challenging for humans to look at. Effective data utilization, however, will have a significant impact on your company's success. In this episode, we have invited JJ Reynolds from betterthandata.com. He has a very excellent YouTube channel as well called Better Than Data. JJ started his journey into digital marketing by running ads for content. And he created a small agency by quickly learning that most organizations didn't use numbers to guide decisions. Today, we're going to talk about improving your sales and lead pages by looking at the numbers and knowing what to do next, using your analytics data, instead of just guessing and still leaving it to chance. Resources Better Than Data Youtube Channel Better Than Data Official Website: JJ Reynolds LinkedIn
It's an International Microsoft MVP edition of Raw Data with our special guest; speaker, author, and blogger, Cathrine Wilhelmsen! Cathrine is a prime example of the most accidental path to a data career, and she did so through the well-traveled avenue of......Fight Club?!
Get ready for an exciting episode of Raw Data by P3 Adaptive! Our guest today is Mike Nichols, a consumer technology and entertainment leader with a proven track record of building growth businesses and exceptional organizations. He's none other than the former Chief Marketing Officer at Xbox, who played a critical role in turning around the Xbox One release with his customer-centric and innovative marketing campaigns featuring #AaronPaul and #DannyMcBride. But that's not all—our guest also had a significant impact on the development of Microsoft's search engine, Bing, which was originally launched as Microsoft Live. Mike also shares his data journey and some inside information on how he brings people together to drive growth and build iconic brands. He shares his insights on customer-centricity, innovation, diversity, and teamwork, and how these principles have guided his leadership throughout his career. From Xbox to Bing, our guest has left a lasting impact on the tech industry, and as a bonus, we even get to learn the truth about what "BING" stands for and what Mike knows about the naming process. It's not all facts today, though, we do get a little speculation as Rob, Mike, and Tom delve into a fascinating debate about the divorce rate at Microsoft. Tom proposes a theory on the durability of first marriages for the first generation of Microsoft employees, and Rob and Mike weigh in on whether the overall rate is higher than the general public's and, more importantly, whether the rate is higher for Microsoft employees who were closely associated with Rob Collie. Is it the Microsoft Effect or the Rob Collie Effect? Regardless, this interesting discussion sheds light on the impact of work culture on personal relationships and the challenges of maintaining a healthy work-life balance in the tech industry. Join us for an episode that is both entertaining and thought-provoking, as we explore the people behind the tech and the impact of work culture on personal relationships. This is an episode you won't want to miss! And, as always, if you enjoyed this episode, be sure to leave us a review on your favorite podcast platform to help new users find us. Also on this episode: Windows live search – Bing The Software Hall of Fame, w/ Microsoft's Conor Cunningham Microsoft Team Manager Asana Needle Nose Ned Happy Families are all alike: Anna Karenina Aaron Paul Xbox Commercial Danny McBride: More is Better Xbox commercial Bada-Bing: Sopranos DOJ v Microsoft: Antitrust Case summary Malcolm Butler Game Winning Interception! Super Bowl XLIX Anchorman 2: News Team Fighting Words Scene
Get ready to tune in to the next episode of Raw Data by P3 Adaptive, where former P3 Adaptive superstar Fred Kaffenberger will be returning as a guest. Rob and Fred will be reminiscing about old times and geeking out over all things Microsoft. But the real kicker? Fred will be revealing a shocking confession: he once faced Rob's dreaded "Interview of Doom" having only known what V-LOOKUP was for 2 years! What happened next? Well, let's just say Fred didn't let that minor setback hold him back from becoming a data wizard. Before joining P3 Adaptive, Fred worked as a white paper writer, where he was told he didn't have the "voice of the customer." But Rob knew better, recognizing Fred's talent for helping people get the most out of technology and a near clone of his own voice, Rob knew Fred had the talent and the skill to excel at P3 Adaptive. Today, Fred is over at Oracle, where he's transitioned from writing about migrating from Oracle to Power BI to migrating from Power BI to Oracle. Talk about a change of pace! But true to form, Fred is still a tech wizard, constantly expanding his skillset and crushing it in the world of DAX. As for his introduction to the world of data, it began in sales and moved to data and debugging. Eventually, Fred moved on to database work where he learned one of the most important lessons anyone in the tech field can use: the value of being concise when communicating with developers. As he discovered, the more words you use, the more room there is for interpretation, and nobody wants that. As always, we hope you enjoyed this episode. Be sure to share your thoughts by leaving us a review on your favorite podcast platform. Also on this episode: Fred's Data Adventure blog 5 signs you have ADHD and autism by Yo Samdy Sam William Dodson MD on the Interest-based Nervous System (ICNU) Fatima the Spinner and the Tent by Idries Shah Zork online Discrete mathematics Referential integrity Oracle Analytics Cloud Oracle Release 2--the first commercially available relational database to use SQL Get Out Nope Excel Power Map Diplo Naomi Shehab Nai Pirates of Silicon Valley k-means Clustering
On today's episode, Charlie Ellis, former Program Manager at Microsoft and expert on the heart of excel, the calc engine, sits down for an amazing conversation. He brings with him stories of the evolution of Office that began with the retooling of Excel 2007. That reboot went on to become a veritable restart of the program that nearly wiped the slate clean by creating what would in essence become a new, more responsive product. With so many big changes happening at the same time inevitably there was some pushback from the users. Fortunately, for modern users, those changes were pushed through and eventually removed a ton of the frustrations of the original Excel. This recording was unique. Emotions ran high, personality types were broken down, and all parties involved pulled back the curtain on their inner selves. Instead of just focusing on Impostor Syndrome, in this episode we hear more about being neurodivergent and how that can affect the work-life balance as well as the work personality that our coworkers are exposed to through social compassion. Of course, when things get that real, some conversations have to be taken with a grain of salt and ultimately removed from the episode. Don't worry, at the end of the day, as with every episode and every topic, we all remain friends and perhaps even grow a little closer because of the conversation. Through thoughtful redirection, everyone involved artfully steers the conversation back to less dangerous but no less interesting waters. While you don't get to hear it all, you won't want to miss this episode. As always, if you enjoyed this episode, be sure to leave us a review on your favorite podcast platform and be sure to share it with a friend. After all, friends don't let friends miss Raw Data by P3 Adaptive. Also on this episode: The Ocean - Led Zeppelin All my Love - Led Zeppelin Leaders Need Not be Flashy, w/ Microsoft VP Dave Gainer La La Land La La Land Jazz Christmas Scene A Single Complete Leader, w/P3 Pres and COO Kellan Danielson What Are ActiveX controls Septic Companions and Breaded Capacitors, w/ Chris Rae Buckaroo Banzai - What is that even? Mike Grant - Ultimate Hall of Fame Furious George vs Condors - Ultimate National Championship Paint.net The Power Ranking Godfather, w/ Jeff Sagarin & Wayne Winston Mark Cuban Crashed my Lecture w/IU's Dr. Wayne Winston Was Excel really originally intended for the MAC? Train Tracks and Chariots . . . really?
On today's episode, Chuck Vigeant, founder/CEO of Clearify, entrepreneur, speaker, leadership consultant, golf aficionado, and, the mastermind behind QQube, brings his most interesting stories of XML, ETL, and even some PGA. He discusses the frustration of accessing data in QuickBooks, sometimes a download can take 12+ hours. For many QuickBooks users, workarounds have become too complicated and time-consuming so they have resorted to deleting data yearly to save time. Can you imagine? Deleting data to access data? It's madness! Don't worry, though, Chuck explains how Clearify provides an interface to give users a method to bolt QuickBooks up to Power BI through the QQubes ETL engine. Bottom line: he and his team put in the time and energy so that the users can reap the rewards of Power BI. He makes sure the data won't be locked in. And, as an added bonus, he even throws in some great calculations for good measure (pun intended) as well as access to create custom calculations as needed. It is an interesting visit, for sure, with Chuck asking some very thoughtful questions of our hosts. There may even be a genealogical tie or two that makes him family. Overall, his data story is more about helping others and making the world a better place. What more can you ask for than a feel-good story of data, positive energy, and contagious happiness. As always, if you enjoyed this episode, be sure to leave us a review on your favorite podcast platform and tune in next week for more Raw Data by P3 Adaptive. Also on this episode: QuickBooks Peachtree Accounting Jack Welch – Cut the bottom 10% The DAX Draft Rob Collie - Women in Data podcast appearance The Power Ranking Godfather, w/Jeff Sagarin & Wayne Winston Ratatouille - Life Lessons Multiplicity - Michael Keaton UnFrozen Caveman Lawyer
113022 Melissa Smith The Numbers Raw Data What Is Happening To US by Kate Dalley
What aspect of your program needs the most work? In other words, how do you determine where you should be focusing your efforts to improve? In this episode, I share how you can use "raw data" (instead of emotion) to pinpoint this areas and start improving.
On today's episode, we sit down with educator, researcher, and all-around information guru Simon Peyton Jones to learn all about programming languages and their impact on hardware, software, and research/development. Simon also brings some professional insight into Excel as a programing language. Oddly enough, around the time Rob met Simon, Rob began to think of Excel as a programming language. In order to be a language, the formulas have to deal with both space and time, so Excel formula language absolutely fits the bill. Just be careful how you code. On older systems, if you perform a VLOOKUP at the same time as a nested IF, it might disrupt the space-time continuum and bring about the blue screen of death! As an engineering fellow at Epic Games, a researcher for Microsoft Research Cambridge, and a professor at Glasgow University, Simon also brings a unique perspective on changing the educational system to include base learning on computer science as part of general education. Not only did Simon step up and suggest change, but he also followed through and created a coalition to guide the program and ensure future expansion as needed. When Simon talks about research, people listen! As always, if you enjoyed this episode, be sure to leave us a review on your favorite podcast platform to help others find the Raw Data by P3 Adaptive Podcast Also in this episode: Simon Peyton Jones's bookmarks! Alonzo Church – Lambda Calculus Touring machine Automata Theory LAMBDA: The Ultimate Excel worksheet function. (Andy Gordon, Simon Peyton Jones) LISP functional language Microsoft Research – Cambridge Arthur Norman – functional programming John Backus Turing Award Setting up for Success w/David McKinnis Declarative Programing Immutability Changes Everything Computing at School – CAS Scratch - Computer Programming Logo - Apple Estimating the value of Pi using Monte Carlo Code.org Tesla One-Way Valve Turing Tumble Robo Rally Board Game Unreal Engine Joe Duffy on Transactional Memory Haskell Language
On this episode, we are bringing in a true leader in workplace diversity, Sadie St. Lawrence from Women in Data! Be prepared to be surprised when you learn that Sadie's idea of diversity is more of a value-driven balance that benefits all people regardless of gender. Improvements, she points out, made in the workplace under the guise of removing gender disparity enhance the workplace for all employees, not just for a single demographic. Sadie is an incredible person with an incredible story that started in a male-dominated career where she spent her early years working on improvements within the industry. Her persistence and determination to make the industry more diverse led to her becoming the Founder and CEO of Women in Data. Sadie's career journey centered around providing support and guidance to those around her and she certainly found her calling: empowering and mentoring women to find success in the world of data. This episode is 100% about the human side and, through the recording process, Sadie indirectly contributed to a recent change in P3 Adaptive's own job descriptions. The conversation highlighted the disproportional labor divide in homes that was exacerbated during the pandemic. This led to a discussion on why so many women left the workforce during the pandemic and didn't return, often to provide care for children and other family members. It even highlighted how women seeking a job, might see expected travel as a requirement that, due to family responsibilities, might cause them to not apply, even if they are more than qualified for the position. That change has been reflected in our current career opportunities and can be found on the P3 Adaptive Career Page. Here's a hint, our travel policy has been updated. Thank you, Sadie, for the insight! As always, if you enjoyed the show, be sure to hit the subscribe button below to have new episodes delivered to your inbox. You never know who the next guest will be on the Raw Data by P3 Adaptive podcast! Also in this episode: Scantron tests Web 3.0: decentralized blockchain introduction Data Careers in the Military Dark Dashboards
Occasionally described as “Addictive, stupidly addictive,” this episode delves into the insanity that is Pokémon Go and is dedicated to the people and the technology behind mapping and catching Pokémon. Shortly after its 2016 release, Pokémon Go became the most successful game in history and, at one point, surpassed both Tinder and Twitter growth with usage time beating other social media apps. Why does this “Got to Catch Them All!” mentality transcends technology? Is it the nostalgia? The family bonding time? Meeting new people and raiding gyms? Or is it maybe a little bit more? In today's recording, you get to hear anecdotes on family bonding, date nights, and even meeting complete strangers to talk Pokémon. Most importantly, though, you get to meet the man behind IndyPokemap.com, Mike Ellis, and learn how he turned his Poké-hobby into a greener way to play in a globally supported community! Don't worry, this episode is teen friendly, no hacking techniques are discussed, just data personalization with gentile manners. After all, no honest mapper wanted to scan another mapper's territory. And forget server farms, this episode includes all the details of iPhone farming with a shout-out to the suffrage that occurred during the downtime when mappers were forced to switch from Python to cellphones. A few of the Interesting inside data facts on Pokémon you will learn today include: How many Poké Stops in Indy? The logic behind spawn points. The how to on submitting poké spots. And, don't forget, if you enjoyed this episode, be sure to leave us a review on your favorite podcast platform and share it with a friend. Just like Pokémon Go, Raw Data by P3 Adaptive is better when shared. Also in this episode: Pokémon Go! Pokémon Raids Pokémon Map shut down by Niantic Pokémon Go-tcha! Pokémon Red Ball Niantic Harry Potter and the Wizards Unite Fan Fest IndyPokémap.com Dog Attack Episode: A Mechanical Clutch Isn't a Steampunk Purse, w/Bill Sundwall Traveling Salesperson problem Pivot table sorting The Software Hall of Fame, w/Microsoft's Conor Cunningham Datel Go-tcha Ranger Ingress by Niantic VMWare Explorer Pokémon pronunciation Niantic Wayfarer Fisher's Nickel Plate Boss Battle
Today we welcome David McKinnis of Tech DNA to the show. David is Microsoft alumni from the days before the development of Darwin, the software that revolutionized install, uninstall, and repair for Windows-supported programs. Prior to Rob and Dave's work on Darwin, software installation was a long and cumbersome project that often-included multiple floppy disks and the patience of a saint and Windows uninstall was rarely considered. Post Darwin, those tasks are often taken for granted. While the development process was bug-riddled, the result was reliable performance, seamless integration, and several great stories. This episode isn't all about software and development though, we already did our first Software Hall of Fame episode. This is about the people behind the process and their trials and tribulations. To understand those stories, we must pull back the curtain on the ever-evolving internal development process of Microsoft and shine a light on what goes on behind the conference room doors. Also today, David and Rob reminisce about how Rob was ambushed in a meeting by a rival development team. That team came prepared with multiple handouts explaining why Rob's project sucked. Don't worry, they also share the resolution of the story and how fate (and the Fed) intervened on Rob's behalf to salvage the program . . . and Rob's credibility. That is a story you won't want to miss, and it is only found here, on Raw Data by P3 Adaptive. As always, if you enjoyed this episode, be sure to leave us a review on your favorite podcast platform and subscribe to have new episodes delivered straight to your inbox. Also on this episode: Gartner on the cost of Windows Fed sues Microsoft Mitch Hedberg - Picture when I was younger TEALS Program– Microsoft Technophobes Make Amazing Technologists, w/ Kerry Kolosko A Single Complete Leader, w/ P3 Pres and COO Kellan Danielson Orange Theory Fitness
Today, we welcome to the show the most transparent international man of mystery, Dany Hoter. Working on his 5th stint with Microsoft and living his best life in his 8th decade, Dany brings both wisdom and fun to those around him. He brings a passion and joy for teaching to his training sessions and always manages to create a connection between people and technology. Of course, he also has a long-storied past with Rob, and together they share the responsibility for what some view as the most expensive trip billed to Microsoft by non-executives. From luxury accommodations to indulgent automobiles, they expensed it all. It wasn't all global jet setting, however, as these two comprised the Dream Team that put the polish on Power Pivot and laid the groundwork for Power Query. Their hard work and dedication paid off as Dany and Rob banded together in their shared time at Microsoft to save the world from an error-filled, rushed incarnation of bi-directional relationships. In retrospect, however, the conversation about this brought up a story that many may prefer to never hear. It seems that amidst all the jet setting, our dear host, Rob Collie, was busy launching a cruise missile with the sole purpose of pissing off the advanced pivot table users. What heinous act did he commit? Rob was directly involved in changing the default of pivot tables to compact. While it did enlarge the user base by helping people feel more comfortable with pivot tables, advanced user rage is still alive and well on Twitter. All of this and more on this episode of Raw Data by P3 Adaptive, where data meets the human element. If you enjoyed this episode, be sure to leave a review on your favorite platform to help others find us! Also on this show: Tinkering is a Way of Life w/ Darinee Louvau Yoda Chong and the Treehouse of Wonder, w/ Donald Farmer The Italians – Marco and Alberto Ikigai Venn Diagram Silicon Valley: Movember clip - mustache filter Kusto v SQL KQL - Kusto Query Language Cube Functions in Excel Rob on Twitter – to allow more bashing on the compact view
Hello friends! On the show today, we have a special treat for you. Straight from the Outback, recorded past midnight, and punny as hell, Kerry Kolosko, freshly minted, accidental Microsoft Data Platform MVP. An avid fan of JIT learning (Just In Time) and a follower of the teachings of Google, Kerry is a self-professed technophobe whose desire to remove redundancies just won't let her disconnect. She has a storied past of chasing answers and creating solutions. She truly is living the dream by dabbling in every interesting technology that comes her way. From Array formulas to Deneb, learning on the fly to save time and frustration is Kerry's superpower. That's not all! Today, we also dig into the age-old question of what hidden fear do many Power BI users share? That great shared doubt when someone asks for the .PBIX file. The irrational trepidation. The spurt of adrenaline. What one small, inconsequential fear do most OG Dax pros share? BADAXAPHOBIA: The fear of being judged for less attractive DAX coding. Well, friends, we are here to tell you that it is an unfounded fear is. OG DAX was more readable, easily digestible, and inherently more interesting before it was streamlined into mere code. Rob and Kerry agree that bad DAX should enjoy a comeback, and nobody should fear embarrassment for writing human-style DAX. All this and more on today's episode. Don't forget, if you enjoyed this episode, send a link to a friend. Friends don't let friends miss Raw Data by P3 Adaptive where we celebrate data, with the human element. Also on this episode: "MVPness" Doesn't Sound Quite Right w/ MS MVP Ed Hansberry Deneb - Declarative Visualization in Power BI What is Data May Never Die w/ Scree Kerry Kolosko Blog - Visualisations Leaders Need Not Be Flashy, w/ Microsoft VP Dave Gainer LetterKenny: Power BI Workout Abbey Road Paint.net Mullet Man - Dax The Way
With a background in finance and a history of great communication and a passion for problem-solving, Ed Hansberry, an Assistant Director with P3 Adaptive, embodies the spirit of P3 Adaptive. Ed was recently awarded his 13th Microsoft MVP Award so of course, we wanted to know more about his achievement, his passions, his adaptability, and most of all, his insights on change so we invited him to join us today for a chat. Early on, in the conversation, Rob and Ed delve into defining change and that led to a lively discussion on the process of change, the successful process of change, and the difference between them. Here's a hint, it's always the people! Knowing that people drive success, Ed extensively volunteers his time in the Microsoft Power BI User Community supporting users around the world with problems and questions around Power BI and, since he has been recognized as a Super User by Microsoft, we really can say that helping people is his superpower. He is leading change one question at a time. This episode isn't just about change, though, the evolution of technology and software is embedded throughout the conversation from cube functions to the hidden power of the innocuously named OLAP dropdown in Excel. And finally, we get some great insight on formerly cutting-edge technology that has since gone obsolete. We hear a firsthand account of the tragic end of the Microsoft phone. You never know what you will learn when the conversation starts to flow. As always, be sure to leave a review on your favorite podcast platform and tell a friend about Raw Data by P3 Adaptive, where data meets the human element. Also on this episode: iPaQ N NTP Not Necessarily the News NNTNs: All about Sniglets That Tufte book . . . MDX in Excel Cube Functions in Excel Disconnected Slicers with DAX Variables & SELECTEDVALUES Field Parameters in Power Bi Skynet Yoda Chong and the Treehouse of Wonder, w/ Donald Farmer Tabluar Editor DAX Studio A Single Complete Leader, w/ P3 Pres & COO Kellan Danielson Who Moved My Cheese
This morning we are joined by Stephanie Lambert, who is a federal attorney that is working on several election cases throughout the United States, and Tom Carroll who is also investigating election cases to discuss the new bombshell information that is coming out of Michigan. Layers and layers of deception, manipulation, and fraud are being further exposed every day as we get closer to the truth. If you want to support the show, you can donate here: http://bit.ly/cd-donate Become a Conservative Daily member right now for massive savings on Faxblasts, discounts at Joe's Depot, and more perks like backstage time with the hosts of Conservative Daily! Use the link and sign up today! https://conservative-daily.com/forms/Step1b If you want to support the show, you can donate here: http://bit.ly/cd-donate Become a Conservative Daily member right now for massive savings on Faxblasts, discounts at Joe's Depot, and more perks like backstage time with the hosts of Conservative Daily! Use the link and sign up today! https://conservative-daily.com/forms/Step1b Make sure you Like, Comment, and Share! Text FREEDOM to 89517 to get added to our text list to receive notifications when we go Live! Please make sure you join our newsletter to receive our action alerts: https://bit.ly/joinconservativedaily Get you and your family prepared at the Brighteon Store right now and stock up on high quality storeable food, survival gear, and the cleanest supplements on the planet! https://bit.ly/3PezXDd Liberty Cigars is a Patriot owned business with an extensive line of historically themed individual cigars and cigar collections including the Commander Series, Founders Series, and the Presidents Series. All packaging is proudly made in the USA by American workers. A truly unique gift for both cigar and history lovers. All orders over $76 will receive a free Patrick Henry cigar, the perfect gift for anyone who says, "Give Me Liberty or Give Me Death" this holiday season. Use code REPUBLIC at www.libertycigars.com Go to IPVANISH.com/daily and use promotional code DAILY - and claim your 70% savings. That's I-P-V-A-N-I-S-H.com/daily. Go to axosbank.com/daily and check out their rewards checking account! If you want to support Mike Lindell and our show, use promo code CD21 to get up to 66% off at https://www.mypillow.com/radiospecials or by placing your order over the phone at 800-872-0627. When you use promo code CD21, a Queen Sized MyPillow is just $29, the cheapest it has ever been! Conservative Daily is on Rumble! https://rumble.com/user/ConservativeDaily We are now also going to be streaming on dlive! Check us out here: https://dlive.tv/ConservativeDaily Click here to donate: http://bit.ly/cd-donate Subscribe to our daily podcast at Apple Podcasts: http://bit.ly/ConservativeDailyPodcast on Google Podcasts (for Android users): https://bit.ly/CDPodcastGoogle We are also available on Spotify! https://open.spotify.com/show/2wD8YleiBM8bu0l3ahBLDN And on Pandora: https://www.pandora.com/podcast/conservative-daily-podcast/PC:37034 And on iHeart Radio: https://www.iheart.com/podcast/256-conservative-daily-podcast-53710765/ on TuneIn: https://tunein.com/radio/Conservative-Daily-Podcast-p1350272/ And on Podbean: https://conservative.podbean.com/ And now also on Audible! https://www.audible.com/pd/Conservative-Daily-Podcast-Podcast/B08JJQQ4M Support Joe Oltmann in his legal battle against Eric Coomer: https://givesendgo.com/defendjoeoltmann
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