Raw Data By P3 Adaptive

On this episode Rob and Justin sit down with Miguel Myers, Product Manager for Power BI at Microsoft, who plays a pivotal role in overseeing core visuals and the report experience in Power BI. Together, they explore how Miguel is steering Power BI to cater to both new users and data experts alike. Miguel shares his intricate strategies for balancing the dual objectives of simplicity and robust functionality within Power BI. He details the collaborative efforts that bring these visions to life, highlighting how his team engages with various departments across Microsoft to ensure that every update to Power BI is deeply informed by user feedback. This integration of real-world insights is critical in maintaining Power BI’s position as a leading tool in data visualization, making complex data analysis more accessible and impactful for all users. This episode provides a deep dive into the innovative strategies Miguel employs to make Power BI more intuitive and efficient, underscoring his dedication to enhancing the user experience. And, if you enjoyed this episode, be sure to leave us a review on your favorite podcast platform to help new listeners find us!

In this episode, we unpack the 'Faucets First' philosophy, a cornerstone of how we approach data projects at P3 Adaptive. Imagine bypassing complex infrastructures and instead, using a straightforward method that brings immediate results and clarity. It's about being agile, practical, and impactful right from the start. Join us as we explore how modern tools, especially from Microsoft, enable this transformative approach, moving away from the traditional, cumbersome methods. We'll dive into real-life applications and discuss the dramatic improvements in speed and efficiency it brings to data projects. With exciting guests like Miguel Myers and Chris Finlan from Microsoft, viral comic creator Forrest Brazeal, and industry veteran Shawn Rogers lined up, you won’t want to miss an episode! Subscribe now on your favorite podcast platform for new content delivered weekly!

In this episode, join Rob as he navigates two significant topics that are shaping the landscape of modern business. In this solo episode, Rob reflects on the dynamic journey of P3 Adaptive, discussing our recent transition into a new growth era propelled by evolving market conditions and internal strategies. He delves into the intricacies of sustaining and fostering this growth, sharing the challenges and strategic decisions that define our path forward. Additionally, Rob has a bit of a Mea Culpa to share about his previous understanding of the Parquet file format and the comparison between Direct Lake and Import Mode in Power BI. The conversation then shifts to a critical development in employment law. Rob unpacks the recent FTC ruling that renders non-compete agreements illegal, exploring its broad implications across various industries, from tech to professional services. He sheds light on how P3 Adaptive uses non-solicitation agreements to safeguard client relationships, emphasizing the balance between competitive edge and ethical practices. Love what you’re hearing? Make sure you don’t miss an episode by subscribing to The Raw Data Podcast on your favorite podcast platform! Also in this episode: Direct Lake VS Import Mode in PBI

Dive into this episode where we're unraveling the threads of data analytics like never before. This week, we're zeroing in on the seismic shifts in technology that are reshaping our understanding and use of data. Imagine stepping into a world where data isn't just numbers, but the lifeblood that pushes businesses forward. We’re going to take a deep dive into semantic models. Once confined to back-end operations and report generation, these models are stepping into the limelight, becoming powerhouse tools for strategic decision-making. We’re not just talking about the mechanics—we’re exploring how these developments touch everything in the business world and open up a world of possibilities you might never have considered. Plus, here’s your chance to steer the ship: join our LinkedIn steering committee. It’s your chance to propose topics, suggest guests, and help us chart the course toward the most pressing issues and innovative ideas in data analytics. Your voice can help direct our journey, bringing fresh perspectives to the table. And, as always, be sure to leave us a review on your favorite podcast platform to help new listeners find us! P3 NCAA March Madness

This week we're diving into the heart of Microsoft Fabric, armed with fresh insights from our team of experts -- Will Gillingham, Mark Beedle, and Chris Haas who've just returned from the conference. These veterans in SQL and Power BI share their firsthand experiences and dissect the potential of Microsoft’s evolving data architecture. Together, they'll explore crucial questions around Microsoft Fabric's capabilities and implications: What exactly is it? How does it shift our traditional approaches to data management? Our experts will simplify these complex topics, offering clear, actionable insights for both technical professionals and strategic decision-makers. And if you enjoyed this episode, don’t stop here! Explore more with our detailed Fabric webinar and browse our comprehensive Microsoft Fabric FAQ for additional insights. Remember to subscribe and join the fun—get fresh, exciting episodes loaded with insights delivered straight to your feed every week!

Navigating the world of AI can sometimes feel like you're trying to solve a puzzle with half the pieces missing. That's where, in this episode, Rob and Justin come in, offering a helping hand with their down-to-earth framework designed to uncover the real-world benefits of AI for businesses. They’ll guide you through the practical journey of assessing roles, tasks, and workflows to spotlight where AI can genuinely lend a hand. Their approach is all about making the concept of AI more approachable, helping you differentiate the practical uses from the buzzword-filled fantasies. In this enlightening episode, they cover essential ground, from understanding the implications of decisions made without full information to distinguishing tasks that could really benefit from AI's touch, like optimizing gas delivery routes. Plus, they introduce the "AI sniff test" to help identify processes that are ripe for an AI upgrade. This detailed exploration is aimed at giving you the clarity to spot AI opportunities that are custom-fit for your business's unique needs, whether you're just dipping your toes into AI waters or looking to dive deeper. Rob and Justin are essentially extending an invitation to stop wondering "What if?" about AI and start exploring "What can be?" Their friendly guidance demystifies the process, making AI seem less like a distant dream and more like a tangible tool within your reach. For anyone curious about integrating AI into their business but unsure where to start, this episode promises to be an eye-opener, turning curiosity into actionable insight. And, as always, if you enjoyed this episode, be sure to leave us a review on your favorite podcast platform to help other users find us and hit subscribe for new content delivered weekly. Framework for Spotting Legitimate AI Use Cases PDF

Dive into the depths of AI with Rob and Justin in our latest episode where we peel back the layers of AI's current facade. In this compelling discussion, we take a critical look at the hyped-up narratives surrounding artificial intelligence, focusing on a crucial issue at its core: the "hallucination problem." Rob and Justin navigate through the intriguing landscape of AI advancements, debunking myths and uncovering the reality behind AI's ability to produce outputs that, while often impressive, can lead to misleading and incorrect conclusions. This episode promises to enlighten you with a fresh perspective on AI, challenging the status quo and urging listeners to question what lies beyond the surface of this technology's glittering promise. But it's not all critique and caution; our hosts also delve into the implications of AI's limitations for businesses and technologists alike, fostering a dialogue on how we can navigate this evolving landscape with both optimism and pragmatism. "Hallucination" is a Fancy Word for Being Wrong is more than just a critique; it's a journey to understanding the nuances of AI, encouraging listeners to embrace the complexity of this revolutionary technology. And as always, if you enjoyed this episode be sure to leave us a review on your favorite podcast platform to help new listeners find us. Also, click subscribe for new content delivered weekly! Also in this episode: The Manhattan Project Midjourney

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'

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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!

In this episode, Rob and Justin offer insightful methods for assessing if your organization is truly harnessing the full potential of the platform. They outline specific "symptoms" to diagnose limited impact - like lack of stakeholder excitement, delays in answering new questions, and overreliance on Excel exports. These symptoms signal opportunities to better leverage Power BI, even without outright failure. Rob and Justin also review technical diagnostics like high report-to-model ratios and poorly structured data models. These tangible checks provide actionable next steps for improvement. Beyond diagnostics, they explore best practices for aligning analytics to business strategy. Justin details his process for ensuring data models, reports, and insights directly tie to key outcomes for sales, marketing, operations, and other groups. They even debate the pros and cons of enabling direct data model access for business users. Peppered with engaging stories, Rob and Justin make practical recommendations for overcoming common data analysis hurdles. So, whether you're looking to grasp fundamentals or refine advanced skills, this episode delivers clear, relatable advice for maximizing business insights with Power BI.   Dive into this informative session to rethink how you use Power BI. And don't forget to subscribe and leave a review! Your feedback supports the show and helps more people discover it. Also in this episode: Listening to Your Stakeholders is Harder Than You Think Creating a Theater of Excitement in Analytics w Austin Senseman

This week, gear up for an episode packed with insight and excitement! Our guest Luciano Miranda, Vice President of Analytics and Insights for Global Operations and Supply Chain at Medtronic, took us on quite a ride this week. His globally dispersed team helps inform critical decisions across Medtronic’s far-reaching supply chain using the power of data. What began as a scrappy five-person team doing their best in Excel has blossomed into an analytics powerhouse delivering insights that assist over 90,000 Medtronic employees. But it wasn’t easy getting there. From adopting new technologies to overcoming changes in organizational structure, Luciano kept his focus squarely on delivering value to stakeholders. By putting relationships before process and always taking the “learner path” over the “judger path,” he turned obstacles into opportunities for growth. The future holds even more change as AI promises to amplify our capabilities. But Luciano sees a bright future where these technologies enhance the power of dashboards and the insight of analysts. He chooses to ride the waves of change rather than be overcome by them. The human element still reigns supreme. As always, if you enjoyed this episode, be sure to leave us a review on your favorite podcast platform to help new listeners find the show. And be sure to subscribe for new episodes delivered weekly to your inbox! Note: Everything we talked about is for non-medically cleared or regulated applications, simply internal analytics. Also in this episode: Medtronic: Microsoft Customer Stories Formula 1 Ted Talk "Principles" by Ray Dalio Spotify and AI NBA coach Doc Rivers and Analytics

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

Today, we're taking you on a deep dive into the ever-evolving world of AI, and we want you to feel like you're right here with us, exploring the tools and features that can truly supercharge your business. Imagine this: harnessing the power of AI to predict customer loyalty and prevent them from drifting away – it's all about aligning AI projects with your business goals, without getting caught up in the buzz or getting left in the dust. While some of the latest AI tech is still in its testing phase, Rob and Justin are excited to encourage you to jump right in and start experimenting. Take a moment to explore AI apps on your phone, strike up a chat with Microsoft Copilot, and watch the magic unfold as you introduce your data into the mix. Think of it as a quick dip into the captivating world of AI, where possibilities are endless. Both Rob and Justin agree: AI holds immense potential, and businesses that hesitate to explore it might just miss out on groundbreaking opportunities. Oh, and one more thing before you go – if you've enjoyed our podcast, be sure to leave a review on your favorite podcast platform to help new listeners find our show! MS Copilot App (Google Play) MS Copilot App (Apple Store) Chat GP3 App (Google Play) Chat GP3 App (Apple Store)

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.