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Donald Farmer, principal of TreeHive Strategy and research fellow with TDWI, joins host Andrew Miller to discuss keys to AI success in business - including building an AI strategy and how leadership can accelerate AI success. To learn more information about the AI Boardroom event please visit AI Accelerate 2025. ____________ More information: ·       TDWI Conferences: https://bit.ly/3XqBhGH ·       TDWI Modern Data Leader's Summits: https://bit.ly/4902fuu ·       TDWI Virtual Summits: https://bit.ly/31HJ2xr ·       Seminars: https://bit.ly/3WxQPr4 ·       More Speaking of Data Episodes: https://bit.ly/3JsQPWo Follow Us on: ·       LinkedIn - https://bit.ly/42zCZZB ·       Facebook - https://bit.ly/49uej7j ·       Instagram - https://bit.ly/3HM8x57 ·       X - https://bit.ly/3SsYu9P

Dive into the future of enterprise data with the latest episode of Tech-Driven Business. Mustansir Saifuddin welcomes Shawn Brown, of SAP, for Part 1 of an in-depth exploration of the SAP Business Data Cloud (BDC). If you're navigating the complexities of data management and analytics within the SAP ecosystem, this episode is unmissable. Shawn breaks down the fundamental 'why' behind BDC, revealing how it's engineered to drastically reduce data preparation time, cut costs, and empower businesses to make faster, more accurate decisions. Tune in to understand how you can your team can take advantage of all that BDC offers to SAP customers looking to unlock true value from their data. With over two decades of experience in SAP solutions, Shawn Brown currently serves as Senior Director for SAP's Center of Excellence. Known for expertly identifying customer needs, Mr. Brown excels in presenting tailored solutions involving Business Technology Platform, Business Data Cloud, S4HANA, and Business AI. A proven leader in demand generation and partner relationship management, Mr. Brown has successfully driven initiatives that enhance customer experience and streamline cloud solution adoption. Renowned as a thought leader and strategist, Mr. Brown frequently shares insights with CIOs and business influencers, fostering strong, trust-based relationships across multiple industries.   Connect with Us: LinkedIn: Shawn Brown:  Mustansir Saifuddin:  Innovative Solution Partners  X:  @Mmsaifuddin YouTube or learn more about our sponsor Innovative Solution Partners to schedule a free consultation.    Episode Transcript [00:00:00] Mustansir Saifuddin: Welcome to Tech- Driven Business, brought to you by Innovative Solution Partners. I'm honored to have Sean Brown of SAP join me to kick off an essential two part series to unpack a topic that's on every SAP user's mind. The Business Data Cloud or BDC. If you're looking to understand how BDC can transform your data landscape and drive real business value, you are in the right place. [00:00:32] . [00:00:32] Welcome to Tech- Driven Business, Shawn. How are you? [00:00:35] Shawn Brown: I am good. I'm good. Things are going well, staying busy. [00:00:38] Mustansir Saifuddin: That's awesome. That's awesome. So glad to have you on our show and I'm really excited for the topic that we are going to discuss today. You ready for it? [00:00:47] Shawn Brown: I am. I'm excited as well. [00:00:51] Mustansir Saifuddin: Yeah, so I, I know we had talked in the past a couple of times and right now , the hot topic everybody's talking about from SAP and in general is the whole idea, the concept, and now the actual product called Business Data Cloud and what it really means for SAP customers. I like to use this time to dig deeper into this conversation and have a better understanding of exactly what this brings, what kind of landscapes that are changing with this new product, and to expect, you know, if you're a customer interested into, in going forward with BDC. [00:01:28] Shawn Brown: -. [00:01:28] Sure. That sounds great. Yeah. [00:01:32] Mustansir Saifuddin: Awesome. Okay. So I think every time we, we have this new products, right? And SAP is really good about and talk, people talk about rebranding and all that. Let's talk about the why of why should SAP customers adopt BDC. What is different about BDC that SAP customers should be asking that question. [00:01:53] Why? [00:01:55] Shawn Brown: Yeah, this is, this is my favorite question to start. Anything in the space that is outside of packaged solutions, you know ERP, HR Supply Chain and, and the capabilities we have in those areas because the why is something that it, it should be the driver for everything. Right? And, and for BDC, I would say the first thing we wanna talk about is it's a, it's a new product. [00:02:24] But it's an evolution of everything that we've been doing for years. It's, it's capabilities that our customers already know about. And it's taking all of the capabilities that we have offered over the time that we've been, been in the data and analytics space. And it's the, I call it a next generation, right? [00:02:45] It's the next generation of what was. And so when we get into the why. I would say the first thing that we really gotta say is, is the reason for BDC is it is to short circuit the amount of time it takes to prepare from data to finally analytics and planning and all the steps in between, where we're often times organizations see it as this, this wheel that. [00:03:15] They start with the data that's in the source system. They're gonna extract a, transform it loaded profile it, catalog it you know, press governance on it. Maybe make it in, you know, in a marketplace setting. Organize it so that it can be easily digestible, create some standard analytics, and then now we can actually start analyzing it. [00:03:34] And the why is really about reducing the amount of time it takes to go around that whole wheel of, Data all the way around to analytics and planning and reduce the amount of prep time and increase the amount of analysis time. Because if we think about how much time a person gets to analyze the [00:04:00] data, let's say for example, and this is a, this is actually a number that is, has been verified with numerous customers and with, the analyst firms like Gartner and Forrester and TDWI is that it takes as much as 70% or more of the actual workload and investment to go from data to analytics. That's not, so that means the analytics is just 30% or less of the time. So if we think about how much each question costs. You have to add in all of that cost that even deliver up the analytical or, or deliver up the, the data in a way that it can be analyzed. [00:04:45] So BDCs goal is to shrink that time of preparation and actual delivery of data for the analyst purpose or for the AI purpose, or for any application purpose. Shrink it as much as possible so that, the questions that are asked are cheaper, and essentially we can ask more questions. We don't have to continue to reformat the data, deliver the data in a new way to get to the final answers that we're trying to seek. [00:05:20] So I would say savings and costs. Savings and money. More data, more, more analysis time. That's the why for BDC. [00:05:31] Mustansir Saifuddin: Yeah, it totally makes sense. I think one of the things that while you're talking about this that stuck out for me was, we always talk about time value, right? And, especially when it comes to analytics, It's such a critical part of any organization's path forward and the numbers that you're just sharing from Gartner and other resources, [00:05:51] where if the majority of the time is gone into the data collection, the data refinement, all that, there's no time left or a very minimal time for your analytics part, which makes it really difficult for organizations to make quick decisions. So I think what I'm hearing from you, the why: the time value becomes very important in this case. [00:06:13] Shawn Brown: Correct. Absolutely. [00:06:16] Mustansir Saifuddin: That's good because that kind of takes me into this conversation, like, Hey, benefits. When you have that, why understood, what are some of the benefits that BDC will provide to SAP customers who want to go on the journey? Because benefits is really the reason why it will make sense for them to move forward. [00:06:33] Shawn Brown: For sure, for sure. And this is the one that's always interesting for organizations because they're focused so much on the actual preparation of the data that oftentimes the benefits that they can glean from all of that effort are, are fleeting, so they look at the, the overall effort and they go, oh yeah, there's, there's a lot here that is really based on, on how much it took to get here. [00:07:01] And the faster we can deliver the capabilities for analysis purposes for any AI purposes, the faster we can make decisions. The faster we can adjust based on those decisions. And so when you think about the speed at which organizations operate, to be able to answer those questions faster is probably the number one benefit that you can get. [00:07:27] And then you also get into accuracy. What, what questions are we asking? And if we don't have to go through this rigorous effort of moving data from all of these source systems and joining it all back together, and then building all that business context. Data integrity, is that a, a concern? It is for most organizations, they're concerned about what this looks like at its end state. [00:07:57] And the other thing that still [00:08:00] exists in the world of business, especially in the analytics space, is the typical spread marked problem. Where people just take the data that they're looking for, they extract it out of whatever solution it's been delivered to them. Maybe it's cheap cloud storage on flat files, or maybe it's been all dumped into an ODS, an operational data store, and then they're accessing the data as they like. [00:08:26] If they don't understand the details of the data and the relationships that occur with the data, and they don't have the original business context that the data came from in its source system, then if they do extract it to whatever they like, then somebody can walk into a meeting with one version of the truth and another can walk in with another version of the truth. [00:08:48] They all can believe that they're accurate. They all can argue over why their version of truth is correct and the others is not. So the confidence in the data is the other thing. We take away a lot of those concerns, because when you have it coming from those source systems and the preparation of that data has been provided in this case by SAP, for SAP systems, at a minimum, you're going to have much more confidence that the data [00:09:17] is delivered to you in a way that respects all of the integrity that it came from. That the accuracy of the data is as accurate as it was entered into the business application upon which it was the source. So the speed of delivery, the accuracy of the data. These are, these are major advantages that you get with regards to using BDC versus [00:09:43] the, the older school, I'll call it older school 'cause I'm an old guy. The old days of Bill Inman and star schemas and relational database systems that we created. These massive data warehouses. It's an older school thought, and it was one that was born outta this idea that we had to get the data from those source systems because we couldn't query the source systems at runtime. [00:10:06] All those things contribute to, to today where we're curating the data for you. It's been curated by SAP from all SAP systems, so if you have any questions about the quality of the data, in that case, you then you should have questions about the quality of your data in its source. there's a bigger issue, so speed of delivery, accuracy of data. [00:10:32] Those are probably my, my two top benefits that customers are going to get out of this. [00:10:38] Mustansir Saifuddin: Absolutely. That makes total sense. I think one of the things that really stuck out for me was the whole concept of end-to-end governance . Does BDC do a better job? And how, is that integrated to this whole BDC realm of the different pieces that makes up BDC? How is data governance and security working within those parameters? [00:11:03] Shawn Brown: Yeah. So in BDC, you're getting role level security on all the data. At that point then you're asking questions like, where do I, how do my users access the data? What are they allowed to see? What are they not allowed to see? All those capabilities can be integrated into BDC. You, you can deliver all of those capabilities directly within BDC. [00:11:27] You start off by setting up some broader, who's the, who's the group? What systems are they accessing? So if I'm in finance and I'm looking at finance data, I probably have access to let's say S/4HANA as the backend system that is storing all this data. All the users within the finance team that have access to S/4HANA can have access to that space of data. [00:11:55] And I use that word space because this is a concept that, again, there's nothing [00:12:00] new. We've invited these concepts into our thinking a while ago, and now it's just another generation of what we're doing here. So that idea of a space is I can include the data that is necessary for a line of business hr, finance, supply chain, and that's what they can see. [00:12:20] And if I need to, all of the rest of the data is accessible through BDC. It's just a question of whether I want to provide the rights to access those other data sets to another line of business, for example. So if I said I wanted to join let's say expense information that's in Concur with employee information, that's in success factors, I can easily join those data sets [00:12:48] bring in forward, from one space to another. And decide at a row level and column level, what individual data set I need to join across groups or individuals, if you will. [00:13:06] Mustansir Saifuddin: I think that's super good because that's where a lot of the questions come in. You know, every time you do move your data from one environment to another environment that you need to have your own new set of governance and security and, it can be role level security or whatever else you wanna do, [00:13:21] you have to kind of redefine that. It seems like it's all built into the BDC portfolio. You're leveraging your source system objects and then be able to apply the same rules that you may have built in. [00:13:37] Shawn Brown: Yeah, the, the analogy I always liked was it's kind of like, and I don't know if they're really like this. I mean, maybe there are not. I just remember old movies that you'd have these Japanese styled homes and they were like, the walls that were almost paper thin, that you could, you almost felt like you could just push your hand right through the wall and just grab something that was in the other room. [00:13:57] I liken it a bit like that in terms of spaces. The spaces are separated in that way with a, a level of access that is very simple to provide when necessary, but distinctly in separate spaces, separate areas, so that that's the benefit. That's the simplicity of being able to access data from any LOB or any third party for that matter. [00:14:23] If you wanted to access that third party data in BDC to any other data that's in BDC as well, whether it's finance, hr, supply chain, whatever it may be, warehouse inventory, whatever it may be. [00:14:38] Mustansir Saifuddin: Totally. Now, since we talked about the benefits, let's look into the details. Like what steps are involved if someone wants to take on this journey and move to SAP BDC? [00:14:53] Shawn Brown: Much of that begins with where are they right now? Let's take a few different scenarios? if a customer is, let's say, already using some SAP solutions, I would say, let's go with the most rudimentary that has been around for a while now for SAP. Let's talk about, they're using HANA Enterprise. [00:15:09] They've, they've been taking a lot of data from their SAP systems and dropping it into HANA Enterprise on-prem. This is a natural next step to that on-premise approach where you said, all right, I, I don't necessarily wanna be in the position of housing systems like this myself and my own data centers. [00:15:28] I want to put them into the cloud. This is a simple transition , to take the data from a HANA Enterprise, drop it into BDC and start using that data in essentially what would be a component of BDC, Datasphere. But it's built on HANA Cloud. And HANA Cloud is built on the same technology that HANA Enterprise is built on that in terms of its capabilities, what it can do. [00:15:52] It's a natural transition for that case if you're talking about a customer that's already using let's say another old product from [00:16:00] SAP, BW. Right. BW has been a really challenging one for a lot of organizations because they've had such value and such benefit by using BW to access data in SAP with those BW extractors. [00:16:14] And in many cases, they've built a lot of and invested a lot in BW in the framework itself. Creating their own objects, creating their own cubes, creating asos, DSOs and so forth, depending on what versions of BW you're on. Not necessarily wanting to just abandon that investment. There's another great example of is, once you're, once you're at least BW 7.5 and above, we make it very simple for you to go ahead and take all of that in BW investment and move it directly into BDC in its format, in its same format as a BW environment. [00:16:54] BW for HANA, same thing, move it right into BDC, it would be in a cloud-based environment that way as well. And essentially all of those connections back to the source systems still persist. When we talk about how do we take advantage of the investments you have, that's where you say, all right, well, I can access them through the BDC framework in [00:17:16] BW that is now part of BDC and use it for whatever purpose I leave it in BW in that case, or I can start taking those particular assets that I have in BW and using the data product generator that is now part of BW embedded in BDC, I can then change those assets in BW to data products. Which is the lowest level form of data that we have in BDC, and in this case, just for those that may be listening and wondering, am I copying the data? [00:17:51] Yes . And we can come to this in a minute as to why you're copying the data, but we are copying the data from its source system, and we would be copying the data from BW as well, where we wanted to make it a data product in BDC. And we can talk about why that is in a minute. 'cause it's a shift. It, it's a bit of a shift in terms of what we've talked about in the past with regards to a whole play the data where it lies, federate versus materialize [00:18:18] that data in, what was Datasphere, which is now part of BDC. That idea of moving those assets from BW into BDC as data products, over time allows us to decommission those, those deployments of BW. So that's the benefit is, we now have a path for BW customers to migrate to BDC, [00:18:45] not give up those assets that they've created and leveraged for so many years in BDC, and then over time decommission BW altogether. Or, if you're really interested and you really like using BW, keep it. That's the other benefit of moving a BW 7.5 environment to BDC is, you're gonna get three more years of mainstream maintenance. [00:19:09] And for example, for BW/4HANA, we're pushing that end of life date all the way out to 2040. That's a long time that you can hold onto that BW environment if that's what you choose to do. But the benefit of BDC is that we're going to give you the mechanism to actually migrate it over and then as your backend systems, particularly like S4 changes, [00:19:31] you're gonna need to change a lot of what you're doing from a BW extraction anyway. Don't do it in BW anymore. Do it in BDC. Now, those are some of the SAP scenarios, but some of the ones that I get as well are, we already have a strategy with our SAP data. We're pulling it into S3 buckets. [00:19:55] Azure Data Factory, Snowflake , all of these third [00:20:00] party extraction destinations and why would I go ahead and use BDC in that case? And the reality is, you have to ask yourself this question where we started in the first place. How much time and energy are you spending going from data all the way around that wheel to analytics? [00:20:20] If you're like the typical organization and it's north of 70%, 80%, 90% as a CIO, I heard last week talking about this, 90% of their time is spent just moving data to get it prepared for analysis. How much do you want to continue to do that? And nobody likes to be looked at as a cost center. Everybody likes to be seen as somebody that is providing value to the organization. [00:20:50] If you're part of an organization and you are seen as a cost center, because the amount of energy it takes to get the data from where it sits to where it needs to be is exorbitant, nine tenths maybe of the overall cost of asking those questions. That's not a great place to be. If you can shrink that as much as possible, then you can actually live up to some of those things that everybody would like to say. [00:21:19] Like, data is the new gold, data is the new oil. The value of data is, is immeasurable. We can do so much with our business because of the data. We could be a data-driven organization. All of these things can become possible, but not so easy when nine tenths or eight tenths of the cost, it's just getting the data where it needs to be. [00:21:44] That's the big thing that needs to be focused on as it relates to some of these ideas that let's go ahead and do the, what I still call old school extract, transform, load, model, profile, catalog govern and, create all of the overhead that is necessary to actually deliver those analytics back to the organization. [00:22:07] And if, you're in a part of your organization where you think it's good enough for me to just extract all the data and drop it over here and let the business go have fun, that's another one where you're not providing additional value to the organization. [00:22:19] What the business community really wants is they want curated data that is business context aware, that is in a position to help them answer questions out of the box, push button. An actual software as a service. That's what we've got with BDC. So this idea that of you've already got a strategy in place, [00:22:44] it might be working right now because you did a ton of work to get you where you are. But here's the kicker. It's probably all going to change, maybe not next year, but maybe two years or three years, maybe the next time you do some major upgrade and we've become more efficient in terms of how we store the data in the business applications, or, [00:23:12] any of the other business applications that you use, they change their underlying architecture in how they are actually storing the data in those source systems. Guess what just changed with your data strategy? Potentially everything. And we have customers that this has happened to them. Where I've walked into a huge SAP customer and I had a conversation with him where I said, we're gonna go ahead, and this is before we had two separate entities of BDC and BTP. And I walked into this session with the customer and said, here's what we're gonna do. [00:23:43] We're gonna go ahead and tell you everything that we can do in the space of data and analytics and everything within the platform space. And the customer said, I don't think we really need to hear about your data and analytics strategy, because we're pretty well set on that. And I said, I want to talk to you about all these things and I need to talk to you [00:24:00] about this one as well. [00:24:01] This one's not negotiable. I need whoever's responsible for data and analytics to be in the room to discuss this. And that person did arrive and that person pretty much felt like they had everything figured out. They didn't wanna, engage in the conversation at all. Pretty much arms crossed throughout most of the most of the meeting. [00:24:19] And we finally got to a point where they said, all right, I can see that there's some benefits, you know, to how this works. But I'll tell you, they were on ECC on HANA. And so fast forward six months and they're negotiating the RISE opportunity with S4/HANA in a private cloud and RISE, and they now realize that everything needs to be changed. [00:24:50] It's good that we had this conversation with them about how you can access the SAP data through, at the time, Datasphere, which is now Business Data Cloud, because they now understand that for them to be able to get access to the data in the way they want, the fastest way they want, and for the fact that we're curating all that data for them, and then providing them out of the box insights with our insight apps. [00:25:14] This is pretty much a no brainer in their part. They knew that they had to explore it, and they knew they had to explore it for the SAP centric question, but also for the non SAP centric question where they want to pull smaller data sets to non SAP capabilities because we are gonna curate those scenarios through data products that will allow them to pull that data into those non SAP scenarios. [00:25:40] So this, these are some of the big plays, we've got that existing SAP solutions, we've got that non SAP centric approach. And then, ultimately, if you haven't got to the point that you're deciding what you're going to do or you haven't don't have a very mature data strategy, maybe you're a growing company, at some point you're going to need to go ahead and start asking those data and analytics questions. [00:26:05] Just know that it's very expensive, as I've said before, to move the data from one place to another, place it there, do all of those things that we've talked about in the past, and then deliver analytics, just pull it out of the box. The last comment I'll make is "that pull it out of the box" sometimes that's not as useful as we think it is. [00:26:25] If I said, you have to dig a hole, it's 10 feet deep and you started from ground level, you have 10 feet to dig. But if I gave you something that got you 50% of the way, I dug five feet for you, I dug six feet for you, would you rather just dig five more feet or four more feet, or would you just rather start from ground level and dig 10 feet on your own? [00:26:48] That's the value that we were trying to demonstrate through BDC. [00:26:53] Mustansir Saifuddin: Good explanation. And I think it is really clear that a lot of times conversations come up about SAP customers talking about their on-prem, their legacy systems and how they will benefit from BDC, but your examples went beyond HANA Enterprise to other non SAP solutions where customers have already been on the journey and they don't see the value at least at this point. [00:27:20] But, after seeing the example you use, it's very logical for them to start thinking in those terms. Also saying, Hey, I simplify my landscape? Still get , if not same, at least, the value that whatever else that BDC brings to the table, like the whole AI capability, all of that can be leveraged by adopting this platform. On a personal note how do you stay on top of, you know, this changing technology world, and business at the same time. How you keep up with all this? [00:27:58] Shawn Brown: Yeah, as you [00:28:00] might imagine in the space of SAP, oftentimes it's hard enough just staying on top of all of the different options we have and different things that we have in terms of technology. So one of the ways that I like to keep up in, in the SAP space is called the BTP Talk podcast, which is a pretty good one. [00:28:18] It actually goes to a number of different you know, platform and data analytics related scenarios. Data skeptics is another pretty good podcast that I get a kick out of. There's another one I'm trying to think of that I use from time to time as well. [00:28:32] Analytics Power Hour. That's it. Yeah, the Analytics Power Hour is another good one. And, I've been paying attention to Tech-Driven Business as well too, so I like this one too. But, you know, the thing that I've been finding too is that, these days, things move so quickly and we think we know where we're going and then something comes along and, and change makes us change direction again. [00:28:53] And AI has probably been the biggest driver to that. The thing that I would say that that it's probably most interesting in terms of how I've changed how I operate is I actually ask AI to provide resources for me on particular topics. For example mid early last year there was a lot of talk about vector engines and knowledge graphs. [00:29:14] And the easiest thing I found to really kind of get a little bit more, versed on the topics was AI itself. I started asking for resources and, and I'll use for example, ChatGPT in some cases I like using Grok as well. From time to time they seem to provide a little bit different types of approaches and levels of interaction. [00:29:35] I kinda like how, grok will ask me follow up questions, which is pretty neat as well. But that's a great way to learn about topics that you are wanting to become more versed in or learning where the resources are to find those topics. So those, those are some of the things that I like to use. [00:29:58] Mustansir Saifuddin: Great list of ideas to kind of keep up with the changing, I mean, just everywhere around us. taking from AI to just carries to anything else. A lot of conversations going on so many different directions. How do you even keep up with them? So I'd like your suggestions, and I know we've talked about a lot of different things today. What is the one thing or one takeaway that you want to leave our listeners with? [00:30:24] Shawn Brown: Hmm, probably in, in the audience of that are responsible for data and analytics. If you're a CDAO, or an analyst or somebody that's responsible for enterprise wide analytics: I would focus on two things because these two things are probably the most important to the people that you serve, your business community. [00:30:50] Point number one is, they want analytics quickly. They want to be able to ask questions quickly. They don't wanna wait. They don't want to say this report, these data sets that you've provided me, they look really interesting, but I'd like to add this and this and this, and when can I have that? [00:31:12] If you can't say you can have that now, then you're taking too long. The other point is. We need to stop being looked at as a cost center. We need to stop being looked at as a place that is a necessary evil. We gotta ask questions of the system. We've gotta extract data everywhere and put it in someplace that we can start answering questions or even not even doing to the extent of actually providing the analytics out of the box. [00:31:40] Instead, we're just providing data sets for people to access. We need to be able to offer real value to the business community. Those are the ones that are footing the bill. Those are the ones that are actually paying for everything. So we need to be in a position to deliver it very quickly, [00:32:00] and it needs to not be expensive, and it needs to be accurate. [00:32:06] Mustansir Saifuddin: Absolutely [00:32:07] Shawn Brown: Those are the elements I think are the key takeaways. That's really the foundation of what we're doing with Business Data Cloud. That's the whole purpose behind it. [00:32:16] Mustansir Saifuddin: Absolutely great advice and a great way to sum up the session. It's been a great conversation. There's so much to gain from this product and, and direction, that SAP's taking. I'd like to thank you very much for joining us today in our show, and look forward to having further detailed conversation with you. [00:32:36] Shawn Brown: Thanks, I appreciate your time as well. [00:32:39] Mustansir Saifuddin: Thanks for listening to Tech-Driven Business, brought to you by Innovative Solution Partners. We have covered the critical why behind BDC, the immense time and cost savings it promises, and the tangible benefits like enhanced speed and accuracy for SAP customers. Sean's key takeaway? Focus on delivering analytics quickly to your business community and strive to offer real accurate value moving away from being seen as just a cost center. [00:33:15] . We would love to hear from you. Continue the conversation by connecting with me on LinkedIn or X. Learn more about Innovative Solution Partners and schedule a free consultation by visiting isolutionpartners.com. Never miss a podcast by subscribing to our YouTube channel. Information is in the show notes.

In dieser Folge des AI or DIE Podcasts spreche ich, Andreas Wiener, mit Mike Kleemann von Boehringer Ingelheim und Falk von AI or DIE. Wir geben einen Ausblick auf unseren Workshop bei der TDWI am 24.-26. Juni in München und diskutieren spannende Data und AI Themen.

In dieser Folge hat Claudia Koschtial Torsten Ahlemeyer zu Gast. Der SQL-Experte gibt Einblicke in sein beliebtes, interaktives Quiz-Format, wo endlich geklärt wird, wie wahrscheinlich es ist, dass alle TDWI-Member auf der Data Unplugged Konferenz hintereinander in der Schlange stehen und wie Claudia die Chancen einer AI einschätzt den Rubix Cube in 0,15 Sekunden zu lösen. Außerdem fachsimpeln die beiden über die Kompetenzen eines SQL-Servers ins Sachen Schach. Interesse geweckt? Hört gerne rein und findet‘s raus.

AI growth with no rules? That's not bold. It's reckless.Everyone's racing to scale AI. More data, faster tools, flashier launches.But here's what no one's saying out loud:Growth without governance doesn't make you innovative. It makes you vulnerable.Ignore ethics, and you're building an empire on quicksand.In this episode, we're breaking down how to scale AI the right way—without wrecking trust, compliance, or your future.Join us live as we break down Sustainable Growth with AI: Balancing Innovation with Ethical Governance — An Everyday AI Chat with Rajeev Kapur and Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Questions for Rajeev or Jordan? Go ask.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Balancing AI Innovation with Ethical GovernanceIntroduction of Rajeev Kapur and Eleven o Five MediaRajeev Kapur's Background in AICompanies Balancing AI Innovation and EthicsFormation of AI Ethics BoardData Management as Competitive AdvantagePrivacy and Ethics as Product FeaturesGovernance and Ethical Standards in AI UseImpact of Regulatory Changes on AI UseDeepfakes and Their ImplicationsEncouragement for Companies to Lead Ethically in AITimestamps:00:00 Navigating AI: Innovation vs. Risks04:00 "AI Startup's Spatial Audio Journey"06:49 AI Ethics Oversight & Governance10:04 Strategic AI Advisory Team Formation15:34 AI Strategy and Governance Essentials16:55 Global Standardization Needed for AI Policies22:47 AI Ethics: Innovation vs. Deepfakes25:48 "Regulate Deepfakes Like Nukes"27:17 Leadership Vision for Future SuccessKeywords:AI innovation, Ethical governance, Large language models, Data privacy, AI ethics board, AI governance, TDWI, Microsoft stack, Generative AI, AI algorithms, Spatial audio, Deep fakes, Data differentiation, Machine learning, Cyber security, Enterprise technology, Rajeev Kapur, 11:05 Media, AI safety, OpenAI, Data utilization, Ethical AI alignment, Regulatory aspect, AI models, Innovation vs. ethics, AI data privacy, Explainability, Data scientists, Third-party audits, Transparent AI usage, AI-driven growth, Monitoring feedback loops, Worst case testing, Smart regulations, Digital twins, Disinformation, AI bias mitigation, Data as new oil, Refining data, Diverse community partnSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

Fern Halper, vice president and senior research director for advanced analytics at TDWI, joins host Andrew Miller to discuss creating an AI-ready organization - including results from the upcoming TDWI Best Practices Report, recommended organizational models, and building the culture for AI.  ____________ More information: ·       TDWI Conferences: https://bit.ly/3XqBhGH ·       TDWI Modern Data Leader's Summits: https://bit.ly/4902fuu ·       TDWI Virtual Summits: https://bit.ly/31HJ2xr ·       Seminars: https://bit.ly/3WxQPr4 ·       More Speaking of Data Episodes: https://bit.ly/3JsQPWo Follow Us on: ·       LinkedIn - https://bit.ly/42zCZZB ·       Facebook - https://bit.ly/49uej7j ·       Instagram - https://bit.ly/3HM8x57 ·       X - https://bit.ly/3SsYu9P

Richard Hines, analytics consultant and educator, joins host Andrew Miller to discuss building a trusted data foundation - including why it's important, the different approaches, and best ways to get started. Please visit Building a Trusted Data Foundation: Why It's Hard and How to Succeed for more information on Richard's session at TDWI's March Virtual Summit. ____________ More information: ·       TDWI Conferences: https://bit.ly/3XqBhGH ·       TDWI Modern Data Leader's Summits: https://bit.ly/4902fuu ·       TDWI Virtual Summits: https://bit.ly/31HJ2xr ·       Seminars: https://bit.ly/3WxQPr4 ·       More Speaking of Data Episodes: https://bit.ly/3JsQPWo Follow Us on: ·       LinkedIn - https://bit.ly/42zCZZB ·       Facebook - https://bit.ly/49uej7j ·       Instagram - https://bit.ly/3HM8x57 ·       X - https://bit.ly/3SsYu9P

Live from TDWI West in Las Vegas, DMRadio host Eric Kavanagh dives into the latest innovations in data management and security. Joined by Jack Rowe (Tonic.ai), Chris Adamson (TDWI), and Mark Crayton (CSA), the panel explores cutting-edge approaches to data privacy, governance, and AI-driven analytics. From synthetic data to emerging best practices in cybersecurity, this episode delivers expert insights on navigating the complex data landscape. Don't miss this dynamic discussion with top industry leaders!

Wann werden Trends zu Trends? Und wo entstehen sie überhaupt? Wir blicken auf 20 Jahre TDWI Konferenz zurück. Gemeinsam mit Carsten Felden bespricht Claudia Koschtial die Themenentwicklung der letzten 20 Jahre. Gemeinsam schauen sie auf die nächste Konferenz, auf Trendthemen und was die Branche wirklich bewegt.

James Kobielus, senior research director for data management with TDWI, joins host Andrew Miller to discuss the current state of data governance - including identifying the hallmarks of a mature enterprise data governance practice, how to gain buy-in for data governance programs, and the tools that organizations are using to help with data governance. Please visit 2024 The State of Data Governance to download and explore the report further. ____________ More information: ·       TDWI Conferences: https://bit.ly/3XqBhGH ·       TDWI Modern Data Leader's Summits: https://bit.ly/4902fuu ·       TDWI Virtual Summits: https://bit.ly/31HJ2xr ·       Seminars: https://bit.ly/3WxQPr4 ·       More Speaking of Data Episodes: https://bit.ly/3JsQPWo Follow Us on: ·       LinkedIn - https://bit.ly/42zCZZB ·       Facebook - https://bit.ly/49uej7j ·       Instagram - https://bit.ly/3HM8x57 ·       X - https://bit.ly/3SsYu9P

Fern Halper, vice president and senior research director for advanced analytics at TDWI, joins host Andrew Miller to discuss distributed data management - including identifying different kinds of data being collected as well as the challenges and best practices for organizations managing data across distributed environments. For more information, please visit TDWI Best Practices Reports to explore Distributed Data Management: Solving Challenges and Maximizing Opportunities. ____________ More information: ·       TDWI Conferences: https://bit.ly/3XqBhGH ·       TDWI Modern Data Leader's Summits: https://bit.ly/4902fuu ·       TDWI Virtual Summits: https://bit.ly/31HJ2xr ·       Seminars: https://bit.ly/3WxQPr4 ·       More Speaking of Data Episodes: https://bit.ly/3JsQPWo Follow Us on: ·       LinkedIn - https://bit.ly/42zCZZB ·       Facebook - https://bit.ly/49uej7j ·       Instagram - https://bit.ly/3HM8x57 ·       X - https://bit.ly/3SsYu9P  

Mark Peco, CBIP, analytics consultant and instructor, joins host Andrew Miller to discuss data modeling techniques - including data and business capabilities, types of data models, and technical debt. Please visit Data Modeling Essentials for more information on the upcoming TDWI seminar with Mark where attendees can earn a certificate. ____________ More information: ·       TDWI Conferences: https://bit.ly/3XqBhGH ·       TDWI Modern Data Leader's Summits: https://bit.ly/4902fuu ·       TDWI Virtual Summits: https://bit.ly/31HJ2xr ·       Seminars: https://bit.ly/3WxQPr4 ·       More Speaking of Data Episodes: https://bit.ly/3JsQPWo Follow Us on: ·       LinkedIn - https://bit.ly/42zCZZB ·       Facebook - https://bit.ly/49uej7j ·       Instagram - https://bit.ly/3HM8x57 ·       X - https://bit.ly/3SsYu9P

Mark Madsen, president of Third Nature and TDWI faculty member, joins host Andrew Miller to discuss real-time data integration - including defining "real-time", which technologies organizations are using, and best practices for getting started. Please visit First Ask Why: Best Pracitces in Real-Time Data Integration for more information on Mark's session at TDWI Virtual Summit Series: Scaling Data Integration and Analytics Pipelines. ____________ More information: ·       TDWI Conferences: https://bit.ly/3XqBhGH ·       TDWI Modern Data Leader's Summits: https://bit.ly/4902fuu ·       TDWI Virtual Summits: https://bit.ly/31HJ2xr ·       Seminars: https://bit.ly/3WxQPr4 ·       More Speaking of Data Episodes: https://bit.ly/3JsQPWo Follow Us on: ·       LinkedIn - https://bit.ly/42zCZZB ·       Facebook - https://bit.ly/49uej7j ·       Instagram - https://bit.ly/3HM8x57 ·       X - https://bit.ly/3SsYu9P

Christoph Kreutz und Alexandra Krolla geben einen ausführlichen Überblick über die Formate des TDWI. Wie kann ich mich engagieren? Welche Formate sind online, welche digital? Welche Konferenzen gibt es genau? Und wenn ich einen Artikel veröffentlichen möchte, an wen wende ich mich? Long story short: Schnuppert gerne überall rein, wir freuen uns auf dich!

Join us for an insightful episode of the Lights On Data Show with Fern Halper, VP and Senior Director of TDWI Research for Advanced Analytics. We delve into TDWI's AI readiness framework and explore key dimensions crucial for successful AI initiatives. Fern shares expert insights on data, operations, and skills readiness, highlighting strategies to overcome adoption barriers.Discover the nuances between AI governance, data governance, and analytics governance, and learn where organizations should start. Explore common challenges in governance implementation across industries and practical recommendations from TDWI. Gain foresight into emerging governance trends and how to prepare for the future of AI.Don't miss this enlightening conversation on navigating AI readiness and governance complexities. Tune in to empower your organization's AI journey!

James Kobielus, senior research director for data management with TDWI, joins host Andrew Miller to discuss AI literacy for business professionals - including the genesis of AI, the core business applications, and the future of AI's impact on business. Please click AI Literacy for Business Professionals to learn more about the upcoming event in San Diego. ____________ More information: ·       TDWI Conferences: https://bit.ly/3XqBhGH ·       TDWI Modern Data Leader's Summits: https://bit.ly/4902fuu ·       TDWI Virtual Summits: https://bit.ly/31HJ2xr ·       Seminars: https://bit.ly/3WxQPr4 ·       More Speaking of Data Episodes: https://bit.ly/3JsQPWo   Subscribe to our TDWI Upside newsletter: https://bit.ly/3Ss4Ypz Follow Us on: ·       LinkedIn - https://bit.ly/42zCZZB ·       Facebook - https://bit.ly/49uej7j ·       Instagram - https://bit.ly/3HM8x57 ·       X - https://bit.ly/3SsYu9P

Fern Halper, Ph.D., vice president and senior research director for advanced analytics at TDWI, joins host Andrew Miller to discuss AI readiness - including the areas for organizations to focus on and the TDWI AI Readiness Assessment. To take the AI Readiness assessment and to explore the other maturity models and assessments offered by TDWI please visit Online Maturity Models & Assessments Frameworks. ____________ More information: ·       TDWI Conferences: https://bit.ly/3XqBhGH ·       TDWI Modern Data Leader's Summits: https://bit.ly/4902fuu ·       TDWI Virtual Summits: https://bit.ly/31HJ2xr ·       Seminars: https://bit.ly/3WxQPr4 ·       More Speaking of Data Episodes: https://bit.ly/3JsQPWo   Subscribe to our TDWI Upside newsletter: https://bit.ly/3Ss4Ypz Follow Us on: ·       LinkedIn - https://bit.ly/42zCZZB ·       Facebook - https://bit.ly/49uej7j ·       Instagram - https://bit.ly/3HM8x57 ·       X - https://bit.ly/3SsYu9P

Andreas Totok ist seit einem Jahr Vorstandsvorsitzender des TDWI und heute bei Alexandra Krolla zu Gast. Die beiden sprechen über die Rolle und die Entwicklung des Vereins, den es jetzt schon seit 20 Jahren gibt. Andreas gibt Einblicke in die letzten Konferenzen und hat auch die ein oder andere persönliche Anekdote parat.

David Langer, founder of Dave on Data, joins host Andrew Miller to discuss real world techniques for machine learning - including using Python inside Microsoft Excel, the highest ROI from machine learning, and a preview of the Hands-on Machine Learning Bootcamp Dave will be teaching at TDWI from June 24 - 26. ____________ More information: ·       TDWI Conferences: https://bit.ly/3XqBhGH ·       TDWI Modern Data Leader's Summits: https://bit.ly/4902fuu ·       TDWI Virtual Summits: https://bit.ly/31HJ2xr ·       Seminars: https://bit.ly/3WxQPr4 ·       More Speaking of Data Episodes: https://bit.ly/3JsQPWo   Subscribe to our TDWI Upside newsletter: https://bit.ly/3Ss4Ypz Follow Us on: ·       LinkedIn - https://bit.ly/42zCZZB ·       Facebook - https://bit.ly/49uej7j ·       Instagram - https://bit.ly/3HM8x57 ·       X - https://bit.ly/3SsYu9P

Der TDWI wird 20 Jahre alt! Wie der Verein als neutrale & unabhängige Plattform funktioniert, warum der Weiterbildungscharakter sowie die Informationsweitergabe im Vordergrund stehen und welche Themen 2024 anstehen bespricht Andreas mit Kai. Außerdem gucken wir zurück auf die Highlights der letzten Jahre, erfahren eine Menge über die TDWI-Entwicklung und die aktuelle TDWI-Konferenz in München und wie Andreas durch Stallklima-Programmierung schon als Teenager zum Thema Datenanalyse gekommen ist. Andreas ist Vorsitzender des TDWI - der größten Data Community im deutschsprachigen Raum. Beruflich ist er Geschäftsbereichsleiter bei der Finanz Informatik Solutions Plus - einer Hundertprozent-Tochter des zentralen IT-Dienstleister der Sparkassen-Finanzgruppe. Er ist seit bereits seit seiner Teenager-Zeit im Thema Datenanalyse unterwegs und hat sein Hobby zum Beruf gemacht.

Dr. Josh Stephens, CEO of Stephens Insight Group, joins host Andrew Miller to discuss building a data modernization strategy including critical components of the strategy, common pitfalls when trying to modernize, and planning for diverse kinds of data. For more information about Josh's session at TDWI's Chicago Modern Data Leader's Summit please visit An Agile Approach to Building a Data Modernization Strategy. ____________ More information: ·       TDWI Conferences: https://bit.ly/3XqBhGH ·       TDWI Modern Data Leader's Summits: https://bit.ly/4902fuu ·       TDWI Virtual Summits: https://bit.ly/31HJ2xr ·       Seminars: https://bit.ly/3WxQPr4 ·       More Speaking of Data Episodes: https://bit.ly/3JsQPWo   Subscribe to our TDWI Upside newsletter: https://bit.ly/3Ss4Ypz Follow Us on: ·       LinkedIn - https://bit.ly/42zCZZB ·       Facebook - https://bit.ly/49uej7j ·       Instagram - https://bit.ly/3HM8x57 ·       X - https://bit.ly/3SsYu9P  

James Kobielus, senior research director for data management with TDWI, joins host Andrew Miller to discuss transforming your business through AI - including principal applications for digital business transformation, AI technologies, and the importance of self-service generative AI tools. To take part in the survey please visit Best Practices Report Survey.   ____________ More information: ·       TDWI Conferences: https://bit.ly/3XqBhGH ·       TDWI Modern Data Leader's Summits: https://bit.ly/4902fuu ·       TDWI Virtual Summits: https://bit.ly/31HJ2xr ·       Seminars: https://bit.ly/3WxQPr4 ·       More Speaking of Data Episodes: https://bit.ly/3JsQPWo   Subscribe to our TDWI Upside newsletter: https://bit.ly/3Ss4Ypz Follow Us on: ·       LinkedIn - https://bit.ly/42zCZZB ·       Facebook - https://bit.ly/49uej7j ·       Instagram - https://bit.ly/3HM8x57 ·       X - https://bit.ly/3SsYu9P

Karen Lopez, data evangelist with InfoAdvisors, joins host Andrew Miller to discuss modernizing data management - including the biggest challenges organizations face and the expanding role of data governance. For more information on Karen's course please visit Expert Best Practices: What Does Modern Data Management Entail? And for the full agenda please click TDWI's Modern Data Leader's Summit Chicago.   ____________ More information: TDWI Conferences: https://bit.ly/3XqBhGH TDWI Modern Data Leader's Summits: https://bit.ly/4902fuu TDWI Virtual Summits: https://bit.ly/31HJ2xr Seminars: https://bit.ly/3WxQPr4 ·       More Speaking of Data Episodes: https://bit.ly/3JsQPWo Subscribe to our TDWI Upside newsletter: https://bit.ly/3Ss4Ypz Follow Us on: ·       LinkedIn - https://bit.ly/42zCZZB ·       Facebook - https://bit.ly/49uej7j ·       Instagram - https://bit.ly/3HM8x57 ·       X - https://bit.ly/3SsYu9P

Fern Halper, Ph.D., vice president and senior research director for advanced analytics at TDWI, joins host Andrew Miller to discuss the current state of data quality - including an opportunity to participate in this research by completeing the Data Quality Maturity Model Assessment. Please visit "State of" Reports to explore our previous reports further. ____________ More information: TDWI Conferences: https://bit.ly/3XqBhGH ·       TDWI Modern Data Leader's Summits: https://bit.ly/4902fuu ·       TDWI Virtual Summits: https://bit.ly/31HJ2xr ·       Seminars: https://bit.ly/3WxQPr4 ·       More Speaking of Data Episodes: https://bit.ly/3JsQPWo Subscribe to our TDWI Upside newsletter: https://bit.ly/3Ss4Ypz Follow Us on: ·       LinkedIn - https://bit.ly/42zCZZB ·       Facebook - https://bit.ly/49uej7j ·       Instagram - https://bit.ly/3HM8x57 ·       X - https://bit.ly/3SsYu9P

Claudia spricht mit Artur König und Philipp von Loringhoven über das Buch "Self-Service BI & Analytics". Die beiden sind Mitherausgeber und Sprecher des gleichnamigen Themenzirkels im TDWI. Die beiden berichten von ihrer Reise zum Buch: Was als Fallbesprechung im Themenzirkel begann, verselbstständigte sich schnell. 2021 gab es das E-Book zum Thema, um das Wissen und vielleicht auch den ein oder anderen Kniff so vielen Menschen wie möglich zugänglich zu machen. Denn was sind schon Daten, wenn sie keiner nutzt?!

David Stodder, senior research director for business intelligence with TDWI, joins host Andrew Miller to discuss empowering data democratization by modernizing data governance and management practices. Please visit Data Governance Bootcamp to learn more and stay up-to-date with all of our upcoming events at TDWI Events Calendar. ____________ More information: ·       TDWI Conferences: https://bit.ly/3XqBhGH ·       TDWI Modern Data Leader's Summits: https://bit.ly/4902fuu ·       TDWI Virtual Summits: https://bit.ly/31HJ2xr ·       Seminars: https://bit.ly/3WxQPr4 ·       More Speaking of Data Episodes: https://bit.ly/3JsQPWo   Subscribe to our TDWI Upside newsletter: https://bit.ly/3Ss4Ypz Follow Us on: ·       LinkedIn - https://bit.ly/42zCZZB ·       Facebook - https://bit.ly/49uej7j ·       Instagram - https://bit.ly/3HM8x57 ·       X - https://bit.ly/3SsYu9P

Fern Halper, Ph.D., vice president and senior research director for advanced analytics at TDWI, joins host Andrew Miller to discuss the six pillars of artificial intelligence data governance - including important components for governance, measuring bias and safety, and organizational buy-in. Please visit TDWI upcoming events to learn more about our Transform 2024 conferences.

James Kobielus, senior research director for data management at TDWI, joins host Andrew Miller to discuss data management practices for next generation artificial intelligence - including what is "next generation" AI and steps for success. Please visit TDWI Modern Data Leader's Summit for more information about Jim's talk and to view the full agenda.

Claudia Koschtial spricht mit Artur König und Philipp von Loringhoven über organisatorische Hürden, datengetriebene Entscheidungen und auch darüber, welche Werkzeuge eine Rolle spielen. Die beiden Gäste sind auch die Verantwortlichen des TDWI Themenzirkels zum Thema Self Service und erleben das Thema nicht nur aus der Perspektive des Beraters und seiner Kunden, sondern auch aus der der Anwender*innen im Themenzirkel des TDWI. Die beiden geben heute einen Einblick in ihre Erfahrungswerte und natürlich die Diskussionen des Themenzirkels.

Vera ist seit 7 Jahren bei celver und leitet mittlerweile ihr eigenes kleines Team. Sie erzählt Andreas, warum sie nicht im Konzern arbeiten will und was bei celver besonders spannend ist. Was du in dieser Folge lernen kannst: - Wie kann eine Karriere mit Daten aussehen? - Wie ist es, mit internationalen Kollegen und Kunden zu arbeiten? - Warum engagiert man sich beim TDWI? - Was sollten alle beachten, die mit Daten arbeiten wollen? - Welche Gehaltsvorstellungen sind realistisch? Vera ist seit über 10 Jahren beratend im Bereich Business Intelligence & Data Analytics tätig. Mit ihrem Team verantwortet sie sowohl Analytics-Projekte als auch Themen rund um Azure-Cloud-Datenplattformen.

Norbert Kremer, Ph.D., cloud solution architect and TDWI faculty member, joins host Andrew Miller to discuss his upcoming course on building a data warehouse in the cloud. For more information on Norbert's course please visit Building a Data Warehouse the Google Cloud Way and for the full agenda please visit TDWI Transform 24 Las Vegas.

Fern Halper, Ph.D., and David Stodder, TDWI Senior Research Directors, join host Andrew Miller to discuss what's ahead for the data and analytics industry in 2024 - including modernizing data integration, generative AI, and self-service capabilities. For more information on these topics please visit TDWI and locate the Explore Topics tab.

David Tam, data and analytics business partner with HSB Canada, joins host Andrew Miller to discuss HSB Canada's journey with TDWI team training on data literacy - including why HSB Canada decided team training was necessary, how they discovered TDWI, and the steps they took to achieve their goals with data literacy. If you're interested in learning more about our team training approach and to view our course library please visit TDWI Team Training.

Fern Halper, Ph.D., TDWI vice president and senior research director for advanced analytics, joins host Andrew Miller to discuss the new Best Practices Report she authored on harnessing the power of diverse data for business growth. To download and explore this report further please visit: TDWI Best Practices Reports.

Von analogen Medien in einer digitalen Welt Ist es noch zeitgemäß in Zeiten von Blogs, Streams und chatGPT analoge Bücher zu schreiben? Die "Gang vom TDWI Themenzirkel Self-Service und Analytics" hat es trotzdem getan. Artur und Philipp erzählen vom Entstehungsprozess des Buchs, stellen Co-Autoren vor und berichten von der Herausforderung, trotz vieler Betragender einen roten Faden in einem Buch zu schaffen. Dazu gibt auch Andreas einen Ausblick auf sein eigenes kommendes Buch. Denn die Inhalte zu erstellen ist nur ein Teil der eigentlichen Arbeit. Ein nicht zu unterschätzender Teil sind organisatorische Themen – und ein großer Mehrwert, die Tatsache, dass das eigene Wissen einen strukturierten Prozess durchläuft. Philipp ist Marketeer, Entwickler, und Daten-Nerd. Als Freelancer hilft er Unternehmen, ihre Kunden besser zu verstehen, um mit ihnen zielführender zu kommunizieren! Er ist zudem Host des DataEngage Podcasts, dem Hilfsmittel wie Marketing und Sales durch und mit Daten kundenzentrierter werden.

James Kobielus, senior research director for data management with TDWI, joins host Andrew Miller to explore the state of analytics in 2023 - including analytics practices, modernization trends, and governance. To download and explore Jim's report please visit: TDWI "State of" Reports.

David Stodder, Senior Research Director for Business Intelligence with TDWI, joins host Andrew Miller to discuss data strategies for AI in the enterprise - including data management and data governance for artificial intelligence and machine learning as well as a preview of TDWI's upcoming Modern Data Leader's Summit in 2024. For more information on TDWI Las Vegas and the Modern Data Leader's Summit please visit TDWI upcoming Events.

Dr. James Barker, director of professional services for data strategy with Alation, joins host Andrew Miller to discuss the House of Data - including key concepts, stewardship roles, and data councils. For more information about data governance please visit TDWI.

Nach jahrelanger Arbeit und tausenden unterrichteten Studenten kennt sich Peter sehr gut mit Daten, Datenakzeptanz und Data Literacy aus. Was er darunter versteht, wie man es Menschen am besten nahe bringt und warum es in modernen Unternehmen wichtig ist, erklärt er Andreas. Außerdem erfahren wir… … was die TDWI ist. … die aktuellen Trends an Hochschulen und unter Studierenden. … Unterschiede und Gemeinsamkeiten von Data Literacy und Data Governance. … wie man diese messen kann. … wie wichtig Grundlagen sind, ohne von Technologie abhängig zu sein. Prof. Dr. Peter Gluchowski leitet den Lehrstuhl für Wirtschaftsinformatik, insbesondere Systementwicklung und Anwendungssysteme, an der Technischen Universität in Chemnitz und konzentriert sich dort mit seinen Forschungsaktivitäten auf das Themengebiet Business Intelligence. Er beschäftigt sich seit rund 30 Jahren mit Fragestellungen, die den praktischen Aufbau dispositiver bzw. analytischer Systeme zur Entscheidungsunterstützung betreffen. Seine Erfahrungen aus unterschiedlichsten Praxisprojekten sind in zahlreichen Veröffentlichungen zu diesem Themenkreis dokumentiert.

Fern Halper, Ph.D., TDWI vice president and senior research director for advanced analytics, joins host Andrew Miller to define some of the most commonly used terminology when discussing generative AI - including foundation model, prompt engineering, and hallucinations. To learn more about this topic please visit What is Generative AI?

Wie nutzt man KI für das eigene Unternehmen und bleibt dabei ethisch und gesetzlich im grünen Bereich? Sonja berät schon seit Jahren Firmen zu diesem Thema und erklärt jetzt Kai, wie sie dabei vorgeht. Was du in dieser Folge erfährst: - Wie kam Sonja zur TDWI? - Wie ist der KI Reifegrad in Unternehmen? - Wie erarbeitet Sonja mit ihren Kunden ethischen Umgang mit KI? - Was kommt bei dieser Arbeit am Ende heraus? - Wie kleinteilig muss die Planung vor dem KI-Start sein? Sonja beschäftigt sich seit 1996 mit Business Intelligence und Data Analytics. Nach einer Tätigkeit als Referentin für Wirtschafts- und Unternehmensethik sowie Führungspositionen in verschiedenen Kreditinstituten und Consultingunternehmen gründete sie 2003 die solecon GmbH. Neue Technologien wie KI und Blockchain begeistern Sonja noch immer, aber sie stellt auch die Frage nach Ethik und Ökologie. Mit ihrem Team unterstützt sie Unternehmen bei der Umsetzung ethischer Grundsätze in der IT und hält Seminare und Workshops zu Corporate Digital Responsibility und Sustainable Business Transformation.

David Stodder, senior research director for business intelligence with TDWI, joins host Andrew Miller to discuss the new Best Practices Report he authored on achieving scalable, agile, and comprehensive data management and data governance.  To download and explore this report further please visit: TDWI Best Practices Reports.  This is part one of our three-part series on this topic.

James Kobielus, senior research director for data management at TDWI, joins host Andrew Miller to discuss vector databases - including the principal use cases and the skills and tools needed to work with vector databases. To explore this topic further please visit Explore Generative AI.

Fern Halper, Ph.D., TDWI vice president and senior research director for advanced analytics, joins host Andrew Miller to discuss data management in the age of AI - including a preview of the Executive Summit at TDWI Orlando as well as exciting use cases and potential challenges. To learn more about TDWI Orlando, and to view the full agenda, please visit upcoming TDWI Events.

Fern Halper, Ph.D., TDWI vice president and senior research director for advanced analytics, joins host Andrew Miller to discuss the new TDWI Best Practices Report she authored on achieving success with modern analytics - including exciting use cases and common challenges organizations need to overcome. To download and explore this Best Practices Report further please visit: Achieving Success with Modern Analytics Report. This is part one of our two-part series on this topic.

David Stodder, senior research director for business intelligence with TDWI, joins host Andrew Miller to discuss data democratization - including self-service tools and data governance recommendations.  Please visit tdwi.org to learn more about this topic.

James Kobielus, senior research director for data management at TDWI, joins host Andrew Miller to discuss spatial data science - including principal use cases, core tools and platforms, and respnosible governance implications. To explore this topic further please visit tdwi.org.

David Stodder, senior research director for business intelligence with TDWI, joins host Andrew Miller to discuss customer data management - including key trends and objectives, ways to incorporate AI/ML, and the current status of customer data platforms. Please visit tdwi.org to learn more about this topic and to explore more of Dave's work.

Fern Halper, Ph.D., vice president and senior director of TDWI research for advanced analytics, joins host Andrew Miller to discuss the state of data management - including the challenges of data management and strategies to modernize. To download and read Fern's report please visit TDWI's "State Of" Reports.

First, host Andrew Miller welcomes back James Kobielus, senior research director for data management at TDWI, to discuss the new TDWI Best Practices Report he authored on monetizing data and analytics - including the chief factors of success, the various tools and applications to consider using, and suggested governance guardrails. Then Colin Dover, senior director for the business technology platform center of excellence with SAP, joins Andrew to share his thoughts and insights on the matter. To download and explore this Best Practices Report further please visit: Monetizing Data and Analytics Report.

David Langer, founder of Dave on Data, joins host Andrew Miller to discuss data literacy and advanced analytics - including the importance of data literacy and how to get started with advanced analytics. To learn more about TDWI events please visit TDWI Events Calendar.

James Kobielus, senior research director for data management at TDWI, returns for another episode with host Andrew Miller to discuss the opportunities and challenges associated with enterprise unification of DatsOps and MLOps pipelines - including priority use cases, optimal implementation approaches, and tools for success. Please visit tdwi.org/research to explore this topic further.

David Stodder, senior research director for business intelligence at TDWI, returns for another episode with host Andrew Miller to discuss cloud migration and management - including technology trends, challenges to overcome, and best practices. Please visit tdwi.org/research to explore more TDWI research on this topic.

Fern Halper, Ph.D., vice president and senior director of TDWI research for advanced analytics, returns for another episode with host Andrew Miller to discuss the data mesh - including the opportunities and challenges it creates for organizations.  Please visit tdwi.org to learn more about this topic.

Rich Fox, analytics consultant and educator, joins host Andrew Miller to discuss information dashboards - including dashboard design, requirements gathering, and data visualization practices. To learn more about TDWI's upcoming seminar with Rich please visit TDWI Seminar Series.

Deanne Larson, Ph.D., president of Larson & Associates, joins host Andrew Miller to discuss data governance and data quality - including success factors for data governance and which roles are responsible for data quality within an organization. To learn more about TDWI's upcoming seminar with Deanne please visit TDWI Seminar Series.

David Stodder, senior research director for business intelligence at TDWI, joins host Andrew Miller to discuss how data silos are created, strategies for overcoming them, and helpful technology trends. Please visit tdwi.org/bpreports to find the Best Practices Report discussed in this episode.

James Kobielus, senior research director for data management at TDWI, joins host Andrew Miller to discuss the emergence of ChatGPT and large language models – including the differences between the two, how to use this technology, and data governance recommendations. Please visit tdwi.org and locate the TDWI Best Practices Report on Responsible Data and Analytics to learn more about this topic.

Fern Halper, Ph.D., vice president and senior director of TDWI research for advanced analytics, joins host Andrew Miller to discuss organizing to execute for modern analytics – including the different organizational models, creating new roles for personnel, and building a culture to succeed. Please visit tdwi.org and locate the TDWI Best Practices Report on Modernizing the Organization to Support Data Analytics to learn more about this topic.

Host Andrew Miller is joined by Donald Farmer, principal of TreeHive Strategy, to discuss how exterprises can move beyond analytics by changing how they make decisions and collaborate. To explore more of Donald's work please visit his website treehivestrategy.com and head to tdwi.org/events to learn more about all the events offered by TDWI.

Host Andrew Miller is joined by David Stodder, senior research director for business intelligence at TDWI, to discuss how to get the most out of enterprise data catalogs – including key objectives, data governance, and best practices. Please visit tdwi.org to learn more about this topic and explore more of David Stodder's work.

Host Andrew Miller is joined by James Kobielus, senior research director for data management at TDWI, to discuss modernizing data governance – including success metrics, trends in modernization, and criteria for maturity. Please visit tdwi.org to learn more about this topic and to explore more of James Kobielus' work.

Host Andrew Miller is joined by Fern Halper, PhD., vice president and senior director of TDWI research for advanced analytics, to discuss current trends in modern data management and analytics - including machine learning, self-service, moving to the cloud, and automation. Please visit tdwi.org to learn more about this topic and to explore more of Fern Halper's work, including the TDWI Best Practices Report on modernizing the organization to support data and analytics.

TDWI is proud to present Speaking of Data, the premier data and analytics podcast for businesses and practitioners. Weekly episodes will feature TDWI analysts, instructors, tech thought leaders, and members of our community that are in the trenches doing the work every day. Tune into Speaking of Data for highlights of the fantastic work done by the TDWI Research Analysts, Faculty, and partners that deliver information, insights, and tangible advice around the latest topics, trends, and events in the data management and analytics industry.

Ob Lehrerambitionen, Geographiestudium, Basketball oder die Liebe zu Tim & Struppi - Christoph spricht mit Oliver über Kindheitserinnerungen, Exkursionen nach Ägypten, seine Begeisterung für Sport und vieles mehr! Das erfährst du in dieser Folge: - Was hat Christoph nach der Schule gemacht und wie ist er zur Geographie gekommen? - Welche Exkursionen im Geographiestudium waren seine absoluten Highlights? - Baut Christoph kleine Sandstädte am Strand oder was hat es mit "Sandburgen-Bauen" auf sich? - Mit welcher Sportart war er schon mal als Co-Trainer bei den deutschen Meisterschaften? - Belgien oder Frankreich - Welche zwei Leidenschaften verbindet Christoph mit diesen Ländern? Christoph ist VP of TDWI Europe bei der SIGS DATACOM GmbH. Dort ist er seit 2014 verantwortlich für alle TDWI-Konferenzen, Publikationen und sonstige TDWI-Aktivitäten. Christoph ist zudem Mitglied im Vorstand des TDWI und unterstützt alle, die sich im TDWI engagieren möchten. Vor SIGS DATACOM zeichnete er sich unter anderem für diverse Projekte im Medienbereich und Sportmarketing u.a. bei der WIGE MEDIA AG sowie der DTM (ITR GmbH) verantwortlich.

Medaillen-Sammler, SciFi- & Fantasy-Fan, Berliner Wahl-Kölner, Welt-Entdecker und und und… Ihr kennt ihn sicherlich aus den verschiedensten BI or DIE Formaten - Artur ist ja quasi schon Stammgast bei uns und auch für Oliver fühlt es sich an, als würden die Zwei sich schon ewig kennen. Aber heute geht's mal nicht um Power BI & Co, sondern um den Menschen hinter der Technik! Artur plaudert mit Oliver über das Leben abseits von Power BI und verrät uns u.a. die Antworten auf folgende Fragen: - Woher hat Artur eigentlich so viele Medaillen? - Sci Fi & Fantasy Fan - okay. Aber eher DC oder Marvel??? - Kann man als ursprünglicher Berliner den Kölner Karneval lieben? - Wie smart ist Arturs Zuhause? - Was passiert, wenn beim Wandern mit Klettersteig das Internet versagt und man keine analoge Karte dabei hat? Artur König ist Informatiker mit aktuellem Tätigkeitsschwerpunkt in den Bereichen BI-Beratung, Daten-Architektur und Datenanalyse. Er ist seit 2016 bei der Scopevisio AG tätig, einem mittelständischen Hersteller von Cloud Unternehmenssoftware mit Sitz in Bonn. Zurzeit verantwortet er das Customizing und die Umsetzung individueller Lösungen in Kundenprojekten, wobei ein wesentlicher Schwerpunkt die Erweiterungen im Bereich des Reporting sind. Die Aufgaben umfassen die Entwicklung von Reporting-Standards und Konzeption, sowie die Umsetzung von kundenindividuellen Datenstrukturen und Auswertungen. Neben den beruflichen Tätigkeiten ist er als Organisator der Berliner Power BI Usergroup und in mehreren Themenzirkeln des TDWI aktiv. Er lebt in Köln, bereist privat gerne neue Länder und ist gerne auf dem Wasser unterwegs.

Today I am bringing you a recording of a live interview I did at the TDWI Munich conference for data leaders, and this episode is a bit unique as I'm in the “guest” seat being interviewed by the VP of TDWI Europe, Christoph Kreutz.  Christoph wanted me to explain the new workshop I was giving later that day, which focuses on helping leaders increase user adoption of data products through design. In our chat, I explained the three main areas I pulled out of my full 4-week seminar to create this new ½-day workshop as well as the hands-on practice that participants would be engaging in. The three focal points for the workshop were: measuring usability via usability studies, identifying the unarticulated needs of stakeholders and users, and sketching in low fidelity to avoid over committing to solutions that users won't value.  Christoph also asks about the format of the workshop, and I explain how I believe data leaders will best learn design by doing it. As such, the new workshop was designed to use small group activities, role-playing scenarios, peer review…and minimal lecture! After discussing the differences between the abbreviated workshop and my full 4-week seminar, we talk about my consulting and training business “Designing for Analytics,” and conclude with a fun conversation about music and my other career as a professional musician.  In a hurry? Skip to:  I summarize the new workshop version of “Designing Human-Centered Data Products” I was premiering at TDWI (4:18) We talk about the format of my workshop (7:32) Christoph and I discuss future opportunities for people to participate in this workshop (9:37) I explain the format of the main 8-week seminar versus the new half-day workshop  (10:14) We talk about one on one coaching (12:22) I discuss my background, including my formal music training and my other career as a professional musician (14:03) Quotes from Today's Episode “We spend a lot of time building outputs and infrastructure and pipelines and data engineering and generating stuff, but not always generating outcomes. Users only care about how does this make my life better, my job better, my job easier? How do I look better? How do I get a promotion? How do I make the company more money? Whatever those goals are. And there's a gap there sometimes, between the things that we ship and delivering these outcomes.” (4:36) “In order to run a usability study on a data product, you have to come up with some type of learning goals and some kind of scenarios that you're going to give to a user and ask them to go show me how you would do x using the data thing that we built for you.” (5:54) “The reality is most data users and stakeholders aren't designers and they're not thinking about the user's workflow and how a solution fits into their job. They don't have that context. So, how do we get the really important requirements out of a user or stakeholder's head? I teach techniques from qualitative UX interviewing, sales, and even hostage negotiation to get unarticulated needs out of people's head.” (6:41) “How do we work in low fidelity to get data leaders on the same page with a stakeholder or a user? How do we design with users instead of for them? Because most of the time, when we communicate visually, it starts to click (or you'll know it's not clicking!)” (7:05) “There's no right or wrong [in the workshop]. [The workshop] is really about the practice of using these design methods and not the final output that comes out of the end of it.” (8:14) “You learn design by doing design so I really like to get data people going by trying it instead of talking about trying it. More design doing and less design thinking!” (8:40) “The tricky thing [for most of my training clients], [and perhaps this is true with any type of adult education] is, ‘Yeah, I get the concept of what Brian's talking about, but, how do I apply these design techniques to my situation? I work in this really weird domain, or on this particularly hard data space.' Working on an exercise or real project, together, in small groups, is how I like start to make the conceptual idea of design into a tangible tool for data leaders..” (12:26) Links Brian's training seminar

Do you really need a data scientist for your startup? Throughout my career, I have placed a lot of data scientists at smaller companies. Most of the people placed left within a year of starting with the common feedback that the work didn't warrant having a data scientist. In most cases a data engineer is more than sufficient to build the organization. Sure AI and machine learning may be critical to your business but the question that should be asked before anyone is hired. Guest Bio: Asim Razvi has been focused on Business Intelligence for the last 20 years. He leads the analytics and data strategy for high growth companies.  Asim brings a wide background across Media, Communications and Finance and has built Business Intelligence practices for PwC, Cognizant and Accenture.   Formerly the Head of Education and Research for TDWI where his focus was to rebuild the TDWI brand through alignment with Analytics, Big Data and Cloud thought leadership. TODAY WE DISCUSS: Why to think twice before hiring a data scientist How to hire once a need is established Challenge today? Why hire a data scientist? Hiring company Think they need AI & ML Its a trademark Organization set up for a data scientist Organization  Data maturity Data Scientist Build something valuable  Not a subject matter expert on what the company wants Insights that drive the company Needs to be linked to the business level Why is this important to the company? Knowing when to hire a data scientist Monetize data Most companies don't need data scientists. Data analyst - subject matter expert  Provide the relevance Rick's Nuggets Not enough challenging work How do we solve the problem?  Focus on data maturity Sophisticated business users Want business user to become information explorer - drill down Power user- pair with analyst Organization Vertical chain Data scientist working in the sweet spot- co-creation feedback loop Readiness assessment How prepared is the organization to hire a data scientist Do I have the “track”? Data engineer on board Hire or use a Tool Data robot  Enable users to become data scientists Predict algorithms that work Hire You don't need a data scientist as a startup Learning - neural net capability Key Takeaways that the Audience can plug into their business today! (Value): Don't hire earlier than you need to Remember you need data for a data scientist to work The Business needs to be mature enough in data to hire the data scientist Make sure there is a career arc for the data scientist to grow in the organization Guest Links: LinkedIn: https://www.linkedin.com/in/asimrazvi/ Company: https://hydrafacial.com/ Twitter: https://twitter.com/DataAsArt Host Links:  LinkedIn: https://www.linkedin.com/in/rick-girard-07722/ Company: https://www.stridesearch.com/ Podcast: https://www.hirepowerradio.com YouTube: https://www.youtube.com/channel/UCeEJm9RoCfu8y7AJpaxkxqQ Authored:  "Healing Career Wounds"  https://amzn.to/3tGbtre HireOS inquiry: rick@stridesearch.com Show Sponsor: www.stridesearch.com

Schnappt eure Lanyards und zückt eure Selfie-Sticks! Oliver und Kai reden über die (verpasste) Weiterentwicklung von Messen & Live-Veranstaltungen, den Netzwerk-Hype und hybride Modelle. Von OMR bis Big Data & AI World - an Messe-Posts kommt man auf LinkedIn derzeit nicht vorbei. Business Social Media macht, als wäre man tatsächlich live dabei gewesen. Doch was kommt bei Messen wirklich rum? Geht man am Ende mit neuen Aufträgen nach Hause, schaffen sie Mehrwert oder dienen sie nur noch als Begegnungsstätte, die eher den persönlichen statt den geschäftlichen Austausch fördert? Müssen wir alle ausgefallenen Live-Termine jetzt dringend nachholen oder ist der Content-Konsum durch digitale Vorträge am Ende viel sinnvoller?

We are joined by these amazing Data Scientists: Danny Ma, Joe Reis, Koo Ping Shung, and David Langer as we'll talk about all things data science. David Langer: Founder of Dave on Data and TDWI data analytics instructor Koo Ping Shung: AI & Analytics Instructor, LinkedIn Top Voices 2020, Co-Founder of AI Professionals Association, and Data Science Rex Joe Reis: Adjunct Professor at University of Utah, and CEO of Ternary Data Danny Ma: Founder & CEO of Sydney Data Science, and Data with Danny

Watch this episode on YouTube: https://youtu.be/RnGRqHmVQ2M * Get the Data Leadership Book – https://dataleadershipbook.com * Data Leadership Lessons on YouTube – https://www.youtube.com/c/DataLeadershipLessons* Save 20% on your first order at the DATAVERSITY Training Center with promo code “AlgminDL” – https://training.dataversity.net/?utm_source=algmindl_res * Guest and Sponsorship Inquiries – podcast@algmin.com This week we welcome Keith McCormick. Keith has a wealth of consulting experience in statistics, predictive analytics, and data mining. For many years, he has worked in the SPSS community, first as an External Trainer and Consultant for SPSS Inc., and then in a similar role with IBM. He possesses a BS in Computer Science and Psychology from Worcester Polytechnic Institute. A sought after speaker, he routinely leads workshops at the popular TDWI conferences, and has given keynotes presentations at many international events. He is an expert in IBM’s SPSS software suite including IBM SPSS Statistics, IBM SPSS Modeler, AMOS, and Text Mining. He is active in statistics groups online and blogs at KeithMcCormick.com. He has twelve courses on LinkedIn Learning, and has coauthored 6 books, including SPSS Statistics For Dummies, 4th edition (August 2020), and Effective Data Preparation (Cambridge University Press, Fall 2020). He is an award winning instructor for UC Irvine’s Predictive Analytics certificate program, and serves on the program’s advisory board. Since serving as a VP of analytics for a small consultancy, his consulting has shifted emphasis towards helping his clients build and manage their analytics teams. For more information about our guest:– Keith McCormick on LinkedIn: https://www.linkedin.com/in/keithmccormick/– Home Page: https://KeithMcCormick.com– Book: SPSS Statistics For Dummies: https://www.amazon.com/dp/1118989015

This month on the podcast, we learn all about corporate data literacy with analytics experts Caitlin Johnson and David Langer. In addition to their day jobs at Schedulicity, David and Caitlin teach data literacy courses with TDWI, focusing on the few concepts business professionals need to do 80% of their analytics. The conversation explores the state of corporate data literacy today, how it impacts BI usage, and what enterprises need to do to become more data-driven.

Viele Unternehmen suchen ihn – den Business Analysten. Doch es gibt nur sehr wenige auf dem hart umkämpften Markt. Wir wird man nun ein Business Analyst? Muss man immer studieren oder gibt es auch andere Wege, um in diesem Bereich Fuß fassen zu können? Im heutigen Podcast besprechen Bianca Schütz und ich, welches Skillset man braucht und wie man sich dieses auf unterschiedlichste Weise aneignen kann. Weitere Informationen zum TDWI, der größten neutralen & unabhängigen Community für Data & Insights in Europa, sind abrufbar auf https://www.tdwi.eu . Bei Fragen schreiben Sie gerne eine E-Mail podcast@tdwi.eu

In this episode of #DataFemme, VP and Research Director for Advanced Analytics at TDWI (Transforming Data With Intelligence) Fern Halper discusses her research on the gender-pay gap as well as how to empower women in the data science field to fight for their careers. Big thank you to TDWI for sponsoring this episode. All #DataFemme listeners can save 30% on TDWI virtual seminars and online learning on tdwi.org/virtualtraining with the code DF30! Register for TDWI’s free Virtual Summit Series: Data Literacy, Analytics and Architecture from June 9-11 at tdwi.org/virtualsummit. Read more about TDWI’s research at tdwi.org/upside. Like what you hear on #DataFemme? Support the creation of more episodes by becoming a patron of #DataFemme at www.patreon.com/datafemme.

Soll man oder soll man nicht? Immer wieder stellt man sich die Frage, ob man sich auf ein Tool, eine Modellierungsmethode oder eine Scriptsprache festlegen soll und wenn ja für was und wie lange? Kann man sich überhaupt festlegen oder sollte man einfaches alles zulassen, was gewünscht wird? Über dieses Thema diskutiere ich in dieser Podcastfolge mit Ulrich Fricke – Head of Information Management & Technology bei CTS Eventim AG. Weitere Informationen zum TDWI – der größten neutralen & unabhängigen Community für Data & Insights in Europa sind abrufbar auf https://www.tdwi.eu . Bei Fragen schreiben Sie gerne eine E-Mail podcast@tdwi.eu

Die TDWI Young Guns sind ein selbstorganisierter Kreis innerhalb der TDWI Community, die sich als die neue Generation in der BI-Welt beschreibt. Julian gibt Insights zu den Young Guns, die er von der ersten Stunden begleitet hat. Es geht darum, dass sich andere Young Professionals ein besseren Bild der Young Guns machen können. Welche Events machen die Young Guns? Wie kann ich von den Young Guns profitieren? Wie kann ich mich engagieren? Was bedeutet es ein Young Gun zu sein? Und viele weitere Fragen werden euch von Julian beantwortet, damit möglichst viele von den Young Guns hören und die Erfolgsgeschichte weitergeht. Julian Ereth forscht an der Universität Stuttgart zu allem was mit Daten und Analytics zu tun hat. Seine Erkenntnisse trägt er dabei über den TDWI und als Solution Architect bei dem Software-Unternehmen pragmatic_apps in Stuttgart auch regelmäßig in die Praxis. Bei den Young Guns engagiert er sich schon seit deren Geburtsstunde vor 3 Jahren.

Weihnachten und Silvester sind geschafft und wir gehen gestärkt in das neue Jahr. Diesmal gibt es kein Interview, sondern eine Empfehlung für den Blog zum Podcast. Der Blog ist zu finden unter: https://www.blog.tdwi.eu . Weitere Informationen zum TDWI – der größten neutralen & unabhängigen Community für Data & Insights in Europa sind abrufbar auf https://www.tdwi.eu . Bei Fragen schreiben Sie gerne eine E-Mail podcast@tdwi.eu

Wir stellen mit Christoph Kreutz den TDWI vor. Thema sind Business Intelligence Veranstaltungen und wie die Zukunft des Vereins aussieht. Warum man sich mit dem TWDI beschäftigen sollte, welche Zukunftsstrategien verfolgt werden und was Christoph sofort verändern würde besprechen wir in dieser Folge. Zudem gibt es ein kleines Quiz und man lernt Christoph persönlich kennen. Christoph Kreutz, ist Leiter TDWI Europe bei der SIGS DATACOM GmbH. Dort ist er seit 2014 verantwortlich für alle TDWI-Konferenzen, Publikationen und sonstige TDWI-Aktivitäten. Christoph ist seit Oktober 2014 Mitglied im Vorstand des TDWI e.V..TDWI-Aktivitäten und seit Oktober 2014 Mitglied im Vorstand des TDWI e.V..

Den Begriff CI – Continuous Integration kennt man bereits aus der Softwareentwicklung, aber man findet diese Entwicklungmethodik auch mehr und mehr im BI-Kontext. In dieser Folge gibt uns Eike Straehler-Pohl - Projekt Manager Business Intelligence bei ZEABORN Ship Management einen Einblick, wie diese Methodik in der Praxis angewandt werden kann. Sie erfahren was CI ist und wie man damit Schritt für Schritt starten kann. Weitere Informationen zum TDWI – der größten neutralen & unabhängigen Community für Data & Insights in Europa sind abrufbar auf https://www.tdwi.eu . Bei Fragen schreiben Sie gerne eine E-Mail podcast@tdwi.eu

Am heutigen Tag startet die TDWI Konferenz in der Schweiz und somit das zweitgrößte nationale Networking-Event des Vereins. Hier trifft sich die Business Intelligence und Analytics Community, um sich im größeren Rahmen über aktuelle Trendthemen auszutauschen. Diese Folge gibt einen Einblick in den Verein: Wie hat alles begonnen und was leistet der Verein heute? Weitere Informationen zum TDWI – der größten neutralen & unabhängigen Community für Data & Insights in Europa sind abrufbar auf https://www.tdwi.eu. Bei Fragen schreiben Sie gerne eine E-Mail an podcast@tdwi.eu.

Die Commerce Reporting Standard Initiative hat es sich zur Aufgabe gemacht, Marken- und Handelsunternehmen in die Lage zu versetzen, eine datengetriebene Organisationsstruktur aufzubauen. Denn noch immer verfügt kaum ein Handelsunternehmen über ein klar definiertes System an Kennzahlen, auf Basis dessen eine nachhaltige Reporting- und Analytics-Infrastruktur aufgebaut und letztendlich eine datengetriebene Arbeitskultur etabliert werden kann – genau hier setzt die Initiative an und arbeitet daran, diese Leerstelle mit einem Commerce Reporting Standard zu füllen. Der heutige Podcast gibt einen Einblick in das Projekt, welche Ergebnisse es aktuell gibt und wie man sich aktiv beteiligen kann. Sie finden die Initiative unter https://commerce-reporting.com Weitere Informationen zum TDWI – der größten neutralen & unabhängigen Community für Data & Insights in Europa sind abrufbar auf https://www.tdwi.eu . Bei Fragen schreiben Sie gerne eine E-Mail podcast@tdwi.eu

O-Töne von der TDWI Konferenz zum Thema "Die agile Transformation des Unternehmens"

In dieser Folge gibt es 5 Tipps von Data & Insight Communitymitgliedern.

Die berühmte Folge 0 eines jeden Podcast. Mein Name ist Leif Hitzschke und in dieser Vorstellungsfolge möchte ich kurz darauf eingehen was sie als Zuhörer hier im Podcast in Zukunft erfahren werden. Viel Spaß bei der Folge! Ihr Leif Hitzschke

In Episode #003, I talked to Mark Madsen of Teradata on the common interests of analytics software architecture and product design. Mark spent most of the past 25 years working in the analytics field, and he is currently the global head of architecture for Teradata Consulting. He is a true analytics pioneer and a regular international speaker who also chairs several conferences and is on the O’Reilly Strata, Accelerate, and TDWI conference committees. If I only looked at job titles, Mark would be an odd fit for Experiencing Data, but the reality is that Mark has many of the traits of a good design thinker including a good sense of empathy about what users need in the world of analytics and decision support software. It’s a rare combination in my experience, so I hope you enjoy the interview. Besides, Mark is also highly entertaining

On the Wednesday, October 16th 2013 at 10AM Pacific/1PM Eastern my special guest is Dr. Pat Salber. We turn the tables on Pat today and rather than put her in the moderator's seat, she the subject of today's discussion. Pat's entry into social media and the broader digital domain was launched via the blog 'the doctor weighs in' (TDWI). A clincally vs. health policy focused place to discuss initially weight management issues, trends and development it quickly grew in both visibility and reach via a broader lens on medicine and the healthcare world at large albeit principally through the eyes of physicians. Pat took somewhat of a sabbatical from her curation and writing duties at TDWI circa the 2011 timeframe to focus on the soon to emerge theater of crowd funding startups in the healthcare space via the platform HealtTech Hatch. Today we get to learn more about this woman, her interests, vision and passion for emerging digitally enabled technologies and the people who write the code, invent the business model and chart the pathways to market  and their collective ability to make a difference for our ailing healthcare ecosystem. Join us.