Raw Data By P3

Two hundred episodes in, and we're done with the warm-up! Episode 200 finds Rob flying solo and pulling zero punches on the question everyone's quietly asking: what's the future of data work? No anniversary nostalgia here, just uncomfortable truths about AI bootcamps at Starbucks, semantic models going naked, and why being "pretty good" at anything is about to get very complicated. If you think you know where this is all headed, think again. Rob spent yesterday turning a non-techie real estate agent into an AI power user, and what he saw exceeded anything from the early Power BI days. But here's what nobody's talking about: the invisible barriers, the shifting skill requirements, and why the middle ground might be disappearing faster than anyone realizes. The lines between data work and software work are blurring, structured versus unstructured data is becoming meaningless, and the comfortable assumptions about who does what are about to get stress-tested. Two hundred episodes of calling it straight, and this one tackles the questions that keep data professionals up at night. Some answers might surprise you. Others might make you uncomfortable. [But you'll know exactly where you stand when the dust settles]

Most of us have been in the trenches long enough to know when something's about to flip the script. And brother, we're standing at the edge of a cliff most data folks don't even see coming. Rob Collie thought he had Power BI figured out. Then Copilot did something impossible; it cracked a question that should've left it scratching its digital head. But it didn't just answer. It nailed it. That's what we're calling the Dobie Moment—when AI stops being a fancy calculator and starts being genuinely scary-smart. Here's the thing nobody's talking about, your semantic models aren't just sitting there anymore. They're waking up. And when Rob and Justin break down what happened in this episode, you'll see exactly why that should make you sweat a little. They're not here to blow smoke. They'll show you the magic, sure, but more importantly, they'll show you where the landmines are buried. Because when AI starts connecting dots you didn't even know existed, confidence and correctness become two very different animals. Bottom line: The future of data just knocked on your door. You can pretend you didn't hear it, or you can listen to this episode and actually be ready when your models have their own moment of reckoning. Your call. But don't say we didn't warn you.

AI looks unstoppable… until you hand it a hundred pages of meeting notes. Rob and Justin dig into why context windows and token limits quietly run the show. That “million-token” brag from Google? More like weighing the Titanic in bananas. From Shakespeare to SharePoint, this episode shows why AI remembers the Roman Empire better than your company history—and why that's not a bad thing. Rob also introduces Griff, a digital colleague that fires off P3-flavored ideas like it's had three espressos. It's practical AI that's actually fun to use. Hit play to find out where AI is brilliant, where it falls flat, and how to make it work for you without the hype. Also on this episode: Million Token Context Windows? Myth Busted—Limits & Fixes

Back in 2010, Tableau beat smarter tools with a better demo. No brain, all charm and the market loved it. Fast-forward to now: same playbook, new costume. The AI dashboard crowd is selling “natural language BI” with zero semantic model, zero memory, and a whole lot of LinkedIn swagger. In this episode, Rob and Justin revisit why Tableau's empty-calorie approach won the first round, and how that same mistake is about to flood the AI + BI space all over again. Turns out, you can still sell snake oil if you call it GenAI. Rob breaks down how an elite MIT course managed to skip LLMs entirely, how a flashy Tableau blog post went viral for connecting a CSV, and why “AI-ready” vendors keep duct-taping chat interfaces onto raw SQL and hoping no one looks under the hood. But the real story? Microsoft is sitting on the most powerful data brain in the game, and if they land the front end, it's game over. This isn't just a history lesson. It's a blueprint for seeing through the hype and betting on what actually works. If you're building, buying, or betting on AI tools, listen in before you get dazzled by the demo. Also on this episode: Early Experiments in Tableau's New MCP Service

Let's say your business runs on sun, sweat, and schedule precision. You've got crews in the field, materials that don't wait, and about 90 minutes to get it right before the product turns into a thousand-pound paperweight. That's the world Joseph Graziano lives in. He's the CFO of Quadrant Concrete and also the guy keeping the trucks moving, the forecasts dialed in, and the safety records spotless. Because in the mid-market, you don't get extra people. You get extra resourceful. Joseph shares how he helped transform a boots-on-the-ground concrete business into a data-forward operation without fancy titles, inflated budgets, or a fleet of consultants. From field-collected data to real-time cashflow forecasting, he's found the sweet spot where better reporting leads to smarter, calmer decisions. You'll also hear why operational transparency isn't just about ROI, it's about reducing chaos, building trust, and creating a culture where everyone sees what matters. If you're trying to lead your business through complexity without adding complexity, this episode can be your blueprint. Data doesn't have to be fancy to be powerful. It just has to work. Listen now and see what it looks like when grit meets insight.

It started as a side project. Rob Collie built a Power BI model for his rec league hockey team. Just for fun. Just to see what the data could say. But something weird happened. The dashboards were solid. The data model was solid. But, the users still had questions. And lots of them. And that's when it clicked: people don't think in slicers. They think in questions. Natural ones. The kind dashboards rarely anticipate. In this episode, Rob and Justin Mannhardt didn't just talk about Microsoft's Copilot for Power BI. They put it to the test. No tuning. No prep. Just a raw semantic model paired with real questions from actual humans. The result? A glimpse at what happens when the tech finally meets the moment. Copilot isn't just a gimmick. It understands nuance, handles filters, and points people to the answer without making them dig. And it's getting better by the day. This isn't a future-state conversation. You've already done the hard part. Now you can build on it. And if you've been wondering when AI will start delivering real value, this is a pretty good place to start. Also in this episode: Indy Inline Hockey Dashboards Inline Analytics Doesn't Mean What You Suspect it Means, w/Ryan Spahr Copilot for Power BI Rethinking the ROI of Dashboards

AI wants your data, but it can't handle the truth . . . “We'll just plug our data into ChatGPT.” Sure. Sounds easy. Rob thought so too, right up until he hit token limits, had to install Python, and discovered that even two megabytes of transcripts was too much for the world's smartest models to handle. In this episode, Rob and Justin break down what happens when you try to use AI on your company's internal data. Spoiler: it's a lot more complicated than the vendors make it sound. From semantic search to retrieval augmented generation (RAG), they unpack why the dream of “ask AI anything about your business” keeps falling short. You'll hear why your Power BI model isn't going anywhere, why structured data still needs old-school engines, and what it really takes to get value from your own information. Somewhere between a cautionary tale and a tech detective story, this one tells it like it is . . . unapologetically. Run into the same situation? We'd love to hear about it! Give us a shout on LinkedIn and tell us how you overcame the limitations.

For a while, you could pretend AI was still a someday problem. Not anymore. Rob Collie and Justin Mannhardt are back, and this time they are tackling Model-Context-Protocol (MCP) and Multi-Agent Systems,  two shifts that could finally put an end to the human copy-paste Olympics. This isn't about shinier tools. It is about AI that plugs in without the duct tape and starts doing the work without making you babysit. Rob and Justin dig into what's real, what's coming, and why "waiting to see" is no longer a strategy. MCP is being called the USB-C of AI. Multi-Agent Systems are making AI check its own work, so you do not have to. Translation? The gap between "early" and "too late" is closing fast, and the status quo isn't going to cut it much longer. If you are tired of the hype but know you can't sit this one out, this episode is the advice you have been waiting for. So, tune in and enjoy! If you like what you hear, don't forget to leave us a review on your favorite podcast platform. Your feedback helps new listeners discover the show! Also in this episode: The Cybernetic Teammate Déjà vu Cat | The Matrix

Sakiko Stickley joins Raw Data to share a story that is part inspiration, part revelation, and a whole lot of truth-telling. From the first moment she discovered Power Pivot, Sakiko did not just learn data. She lived it. She rewired reporting systems, survived micromanagers, and navigated the strange realities of big consulting firms, all while quietly proving that one person, one model, and a little bit of DAX can change everything. In this episode, we get an inside look at how a passion for smarter systems can collide with corporate inertia, what it really feels like to challenge the status quo, and why Sakiko believes AI could someday outperform human leadership, not just in data crunching but in ethics and decision-making too. (Spoiler: She might be right.) If you have ever felt like a lone voice in a world that clings to inefficient processes, Sakiko's journey will feel like a kindred spirit calling from across the data universe. Listen in for a conversation filled with hard truths, breakthrough moments, and a reminder that true data people do not just build models. They build better futures.

What's the value of a long-awaited feature? Well, that depends. Have you ever tried explaining a fiscal calendar that doesn't believe in months? This week, Rob Collie and Justin Mannhardt dive into the latest Microsoft Fabric updates, including the long-rumored, almost-mythical custom calendar support in DAX, the highly requested user-defined functions, and the Copilot expansion that might finally be worth the hype. These updates aren't just bells and whistles; they're fixes to problems that have been quietly driving your team up the wall for a decade. And while the tech is cool, the real story is what it unlocks for the people trying to build reliable reporting, reuse their logic across models, and stop wrestling with edge cases in Excel at 10 p.m. If you've ever been told, “that's just how it works,” this episode is a breath of fresh air, and a reminder that progress doesn't always come with a parade. Sometimes it shows up in patch notes.

What happens when you hand off your Power BI output to ChatGPT and ask it to make sense of your world? You might be surprised. This week, Rob shares a deeply personal use case. One that ties together two major themes we've been exploring: Gen AI is reshaping the way we think about dashboards. To get real value out of AI, you need more than just data. You need metadata. And yes, that kind of metadata—the kind you create in Power BI when you translate raw data into something meaningful. Along the way, we revisit the old guard of data warehousing. The mighty (and now dusty?) ETL priesthood. And we uncover a delicious little irony about how the future of data looks a lot like its past, just with better tools and smarter questions. The big twist? We're all ETL now. But the "T" might not mean what you think it does anymore. Listen now to find out how a few rows of carefully modeled data, a table visual, and one really good AI assistant changed the game. For Rob and, just possibly, for all of us. Also in this episode: Blind Melon – Change (YouTube) The Data Warehouse Toolkit Raw Data Episode - The Human Side of Data: Using Analytics for Personal Well-Being

AI agents are making big waves, but are they the future of business or just another passing trend? In this episode, Rob Collie and Justin Mannhardt explore the rise of AI agents, what they actually do, and why the excitement might be a little premature. They unpack the risks, the rewards, and how leaders can navigate the hype with a bit of caution and a lot of curiosity. Rob and Justin discuss the fine balance between automation and human oversight, tackling questions about when it's smart to embrace AI and when it might be better to pause. They also share thoughts on the current SaaS landscape, where new AI tools are popping up fast and why it pays to be thoughtful before jumping in. Ultimately, this episode is about finding clarity in a fast-moving space. It's about understanding where AI agents can add real value, where they might introduce unnecessary risk, and why critical thinking still matters. Rob and Justin reflect on the challenges of trusting AI, the dangers of locking into technology too early, and how the best decisions come from balancing curiosity with skepticism. If you're wondering how to separate the genuine innovations from the passing fads and how to be strategic about adopting AI in your business, this conversation is for you.

Listener John sent in a classic question: should you build one all-encompassing data model, or should each part of your business have its own? If you think the answer is black and white, well, welcome to the world of data modeling, where nuance reigns supreme. Rob and Justin dive deep into the pros, cons, and inevitable mistakes of both approaches. Along the way, they call out the biggest modeling traps, expose the myths that make projects stall, and introduce a revolutionary new acronym: JGS (Just Get Started). Because, spoiler alert, the best data model is the one that actually gets built. This is an episode you won't want to miss!

Ever find yourself overthinking a problem until you've thought yourself right into a corner? Yeah, we've been there too. But what if there was a way to cut through the noise and just know when something is a good idea? Enter Miller's Theorem, a simple but sneaky-effective thought experiment that's been kicking around in our conversations for years. It's the kind of thing that sounds like nonsense at first until it doesn't. In this episode, we unpack how a casual visit to a bougie home décor store in Seattle turned into an existential crisis over tariffs, pricing psychology, and whether customers actually care if their overpriced alpaca throw just got 25% more expensive. But it's not just about economics. It's about how we make decisions, avoid self-inflicted complexity, and maybe stop outsmarting ourselves into bad choices. Also on the table: the contrapositive, the dangers of taking political soundbites at face value, and why abolishing the IRS is an idea so catastrophically bad it might actually make the Great Depression look like a mild inconvenience. It's a wild ride through logic, business, and just enough existential dread to keep things interesting. Listen now, then hope over to LinkedIn and tell us what you think! Got a topic you would like to have Rob and Justin cover? Join our Raw Data by P3 Adaptive Steering Committee and let us know!   Also in this episode: Pokerbots, Adware, and Burning Man, w/ Brad Miller & Kai Hankinson

For years, dashboards have been the go-to for business intelligence. Built with the best intentions, loaded with visuals, and meant to empower decision-makers. But are they actually delivering? A recent Reddit thread raised a tough question: "Has anyone here moved away from dashboards as their main source of insights?" It's not the usual “Dashboards are dead” hype. It's a real challenge from BI pros who build them. The problem? Analysts say dashboards can't keep up with how they really explore data. Executives and business users aren't using them as intended, leading to more ad hoc requests, not fewer. The result? Dashboards end up underused, misused, or worse, ignored. In this episode of Raw Data, Rob and Justin cut through the noise and get to the heart of the issue. Are dashboards the problem, or is it how we're designing and using them? And more importantly, what's the right way forward? Also in this episode: Reddit discussion

Ever sat in a meeting, watching a decision unfold that makes zero sense—bad for business, bad for employees—while the data that should be guiding the way is ignored? You're not alone. In this solo episode, Rob Collie takes on a question that's been circling for years: why aren't more people with a data-driven mindset in leadership positions? The answer isn't as simple as “because they should be.” There are deep-rooted reasons why persuasion often wins over precision and why data folks get stuck in support roles instead of calling the shots. But here's the thing, change is possible. Whether you're an analyst looking to break into leadership or a decision-maker wondering how to get the most from your data-savvy team, this episode is for you. Tune in as Rob unpacks the hidden forces at play, the skills that can help data professionals move up the ladder, and why learning the art of influence might be just as important as mastering the numbers.

What happens when you mix fantasy football, data analytics, and a little bit of chaos? You get a conversation that refuses to follow a straight line—but somehow lands exactly where it needs to. Rob Collie welcomes back fantasy football guru Adam Harstad for his third appearance on Raw Data, alongside first-time guests Heather Zimmer and Molly Ferguson, two self-proclaimed newcomers who are anything but casual. They dive into the unexpected ways fantasy football rewires your brain, from strategic obsession to the unshakable belief that your lucky jersey actually controls the game. Adam breaks down the numbers behind the game—how expected points added (EPA) became the gold standard of football analytics and why your gut feeling about a "bad matchup" might just be a statistical illusion. Meanwhile, Heather and Molly prove that fantasy football isn't just a game; it's a full-blown data-driven lifestyle. Whether it's crunching Power BI models for next season or convincing family members to clear out during game time, they've gone all-in—and they're not looking back. But beyond the spreadsheets and the smack talk, this episode is about something bigger: the sheer joy of unexpected obsessions. Whether you're in it for the data, the competition, or just the chance to prove someone wrong (we see you, Heather), fantasy football is a reminder that the best things in life are the ones you never saw coming. Also in this episode: Guide to EPA Protect the Spots with NO Bulletholes, w/ Adam Harstad Epistemic Path Dependency, w/ Adam Harstad

What if we told you that, before Power BI, most of the money spent on data projects didn't go where you thought it did? In this episode, Rob Collie and Justin Mannhardt peel back the layers of inefficiency, miscommunication, and just plain bad luck that have haunted data projects for decades. Spoiler: it's not all doom and gloom. Some of those old headaches are finally getting the boot, thanks to tools like Power BI and the rise of generative AI. Rob and Justin take an honest look at how data projects have changed over the years, sharing hard-earned lessons and surprising insights from their time in the trenches. They reflect on the glacial pace of old-school BI, how Power BI changed the game, and why AI might be the next big shift. If you've ever wondered why your pre-Power BI data project cost more than a new car, this episode has the answers (and maybe a little therapy). Listen now for insights, laughs, and a sneak peek at the not-so-distant future of data. As always, be sure to leave us a review on your favorite platform or share the link with a friend to help new listeners find us. Rob's Visual Aid

Gil Raviv has spent years shaping how we use data. From his early days at Microsoft, where he played a key role in developing Power Query, to his work refining how dashboards serve their users, Gil's career is a masterclass in making data tools both practical and powerful. In this episode, we sit down with Gil to dig into why usage data is the missing ingredient for truly effective BI. He explains how understanding what users do with your dashboards can completely change the way you design and deliver them. We also talk about his journey through the world of business intelligence, the lessons he learned along the way, and why he's so passionate about building tools that meet people where they are. Whether you're a Power BI power user or just starting to think about how data fits into your business, Gil's insights will get you thinking differently.

The Spirit of “Why Not” with Bob Pop Collie The Life of a WW2 Navy Pilot Cadet (Bonus), w/ Bob Pop Collie    

The world of data technology moves in fascinating ways, and we're excited to have Microsoft MVPs Ed Hansberry and Kristyna Ferris join Justin to unpack what's really happening. This conversation is all about understanding the technologies that are reshaping how we work and think about data. Microsoft Fabric has been a hot topic, and for good reason. Is it the breakthrough platform everyone's talking about, or are there nuances that aren't making headlines? Ed and Kristyna bring their hands-on experience to share what they've learned—the moments of excitement, the unexpected challenges, and the real potential they see. Artificial intelligence continues to be a transformative force. We're not just talking about theoretical possibilities, but how AI is actually changing the way data professionals approach problems. What does this mean for teams, for individual careers, for the way we think about technology? Tune in to find out!

The world's moving fast, sometimes too fast. Whether it's AI taking over ad campaigns, fake LinkedIn profiles popping up, or the healthcare system extracting more than it gives, the threads connecting our modern chaos are all too clear. Misaligned incentives and unchecked technologies are reshaping industries, culture, and even how we trust each other. Progress can be exciting, but it's also raising some tough questions: Are we losing our humanity in the race to optimize everything? Take Coca-Cola, the apex predator of branding. This holiday season, they swapped their usual creative mastery for AI-generated ads, and people noticed. The results weren't just underwhelming; they were unsettling. It's a perfect example of what happens when we try to replicate the human touch with machines that aren't there yet. But this isn't just about Coke. It's about a broader trend of trading quality for convenience and innovation for cost-cutting—and the ripple effects it has on culture, trust, and livelihoods. This week, we're unpacking the tension between innovation and integrity, exploring how businesses, governments, and individuals can find a better balance. From the rise of fake AI personas to headlights designed to cheat brightness tests, we'll dig into what these examples say about the systems we rely on and what happens when those systems fail us. It's a wild ride, but one thing's for sure: the way forward has to be more thoughtful than the path that got us here.

The AI revolution is here, and if you're in the data space, you're sitting in the best seat in the house—whether it feels that way yet or not. Rob takes you on a straight-talking journey through why our industry isn't just surviving but thriving in this moment of upheaval. Forget the hype and the fearmongering; this is about recognizing the unique position we're in to expand into unmet demand. It's not just about keeping our jobs—it's about making them better, more impactful, and yes, more secure. Here's the deal: this isn't a time to coast. The same tools that can help us shine also require us to step up and adapt. Rob breaks down how the drudge work that used to define so many roles has been swept away by tools like Power BI—and why that's not a threat but a gift. The value isn't in the grind; it's in the thinking. The problem-solving. The expertise. If you're clinging to old ways, you're missing the whole point of what's happening right now. Listen now to hear why this moment is one of the biggest opportunities our industry has ever seen. Rob unpacks how unmet demand is changing the game, why our skills matter more than ever, and what it takes to not just ride the wave but come out ahead. Don't miss it.

Rob and Justin are back, catching up after a short break with an episode that's part big ideas, part funny stories, and full of surprises. They kick things off with the Crutches Paradox. Their take on why we hang onto things we'll probably never use, “just in case.” From there, the conversation moves into all kinds of unexpected territory: why politeness might not matter when working with ChatGPT, the infamous New Coke conspiracy theory from the 80s, and why some of the world's top software engineers just don't seem too concerned about AI. Rob even shares a few personal moments, including how his old Pontiac Bonneville managed to become a legend among tow truck drivers. Between the laughs and the thought-provoking moments, this grab bag episode has a little something for everyone. Whether you're here to explore big questions or just enjoy a good story, this one will keep you hooked from start to finish. As always, if you enjoyed the episode, be sure to leave us a review on your favorite podcast platform.

A little note from Rob to share about this week's episode, and what's coming!

This week on Raw Data, Justin's flying solo and catching up with Brian Julius, a true data veteran with a unique journey from government work to AI exploration. Brian's path has been anything but typical. Starting in high-stakes federal roles, he later moved into management; only to find himself pulled back to his roots in hands-on analytics, just as AI started turning the industry on its head. Brian digs into the moments that shaped his career and how curiosity led him back to data. Now, he's diving into AI, pushing the tools to see how far they can go, and discovering where human intuition still has the edge. In this conversation, he and Justin explore what it means to keep evolving in a field that doesn't stand still, and why staying open and curious might just be the most important skill. With Rob away this week, Justin and Brian take a deeper dive into what it's like to adapt to constant change, and why there's more to data than just knowing the latest tools. It's an honest, down-to-earth look at the power of a lifelong learner's mindset in an era of rapid transformation. Also in this episode: DAX/ChatGPT Ideogram

Rob Collie records his final episode from the cozy, sound-dampened basement studio where over 170 Raw Data conversations have taken place. With moving boxes waiting to be loaded onto a truck bound for Seattle, Rob reflects on his unexpected 15-year journey in the Midwest—an adventure filled with personal challenges, growth, and life lessons that only make sense in hindsight. What started as a sudden and overwhelming shift became a series of hard-earned lessons that shaped not just his career but his entire outlook on life. In this episode, Rob explores the universal nature of those journeys where we step away from the familiar, confront unexpected challenges, and return changed. It's not about grand, heroic feats but about navigating uncertainty, learning as you go, and finding meaning in what's hard. Rob shares candid moments of struggle, success, and everything in between, offering reflections on fear, growth, and the reality of being human. This isn't a story of perfection, it's a journey full of wrong turns, lessons learned the hard way, and the humility that comes from embracing both the light and dark sides along the way. Don't forget, if you enjoyed this episode, be sure to leave us a review on your favorite podcast platform to help new users find us.

In this episode, Rob Collie and Justin break down life lessons learned from a simple tool: the Green Biscuit puck. It's a perfect example of how resilience sometimes beats prevention—because you can't avoid every bump in the road, but you can adapt and keep moving forward. That same idea applies to AI and Power BI, where working with messy, real-world data is part of the process. Rob and Justin draw easy parallels between solving problems on the ice and in business, making complex topics feel less stuffy and refreshingly practical. When it comes to adopting AI, Rob and Justin talk about how it's not a magic fix but a friendly co-pilot, ready to help with everything from writing tasks to brainstorming. The goal isn't necessarily perfection. Sometimes it's simply getting off the starting line. Their advice? Don't overthink it. Take that first step, see where it leads, and let AI surprise you. Tools like ChatGPT can boost productivity, helping you overcome the blank-page syndrome. Be sure to subscribe on your favorite podcast platform for more great episodes on data, tech, and the unexpected lessons hiding in everyday experiences.

This week Rob shares his disdain for CFL light bulbs, but it's not necessarily about light bulbs here!  It's more of an analogy as to why the status quo weighs absolutely nothing.  Something better and disruptive came along, and now it's everywhere. We barely even remember the transition, because the new "light bulb" is far superior to what was previously the standard!

In this episode, Rob Collie and Justin Mannhardt step onto the data gridiron to test if AI can tackle the complexities of fantasy football data. Rob starts with a Power Query puzzle, full of messy stats, player names, and tricky injury codes—solving it manually in over 30 steps. But can ChatGPT, with Justin's guidance, run the same play and simplify fantasy football data management? Justin and ChatGPT take their shot at transforming the chaos into organized data. While ChatGPT makes some impressive moves, there are a few fumbles that leave us wondering—can AI truly handle the ever-changing landscape of fantasy football stats? Want to know how this battle played out? Tune in to find out if AI has what it takes to streamline your fantasy football data or if human instincts still win the day. Here is the companion Blog Post to follow along - Can AI Write an M Script When it Requires Inspiration? Rob Collie Squares Off Versus ChatGPT

Have you noticed the phrase "Dashboards Are Dead" popping up on LinkedIn? It's catchy, provocative, and designed to grab your attention. But is there any truth to it, or is it just another clickbait strategy? In this episode, Rob Collie dives into the psychology behind these viral statements and why they get under our skin. While dashboards aren't going anywhere, there is a shift happening. Generative AI and chatbot interfaces are set to change how we interact with dashboards, making it easier to find, use, and even build them on the fly. But that doesn't mean dashboards are obsolete—far from it. Visuals still offer unparalleled insights that AI simply can't replicate...yet. Listen in as we break down the manipulative tactics behind "Dashboards Are Dead" and explore the exciting future of dashboard design in a world enhanced by AI.

In this episode, Rob Collie talks about how anyone can learn to "predict the future"—not with superpowers, but with a normal ability we all have. Rob shares his own stories of seeing big changes coming, like the rise of Power Pivot and the early signs of COVID-19. It's not about being right all the time, but about recognizing when something big is shifting and knowing how to act on it. One of the biggest lessons here? The status quo isn't permanent. Rob's decision to start P3 Adaptive came from trusting what he was seeing, even when others didn't. His story is proof that when you're willing to trust your gut and take action, amazing things can happen. With AI on the rise, that same approach matters more than ever. The world is changing fast, and those who can adapt will thrive. Tune in to hear how you can tap into your own ability to spot shifts and make smart decisions with confidence. And, as always, if you enjoyed this episode, be sure to leave us a review on your favorite podcast platform to help new users find us!

In this episode, Rob and Justin explore how AI is making waves not just in tech-heavy industries but in everyday businesses like construction and manufacturing. They talk about how AI tools can help streamline processes, create custom solutions, and make even the most hands-on industries run smoother and more efficiently. They dive into the common worry that AI will replace jobs, but they quickly turn that idea around. Instead of taking jobs away, AI is stepping in to handle repetitive tasks, allowing employees to focus on the big-picture work that sparks innovation and growth. It's not about replacing people—it's about enhancing what they do best. Rob and Justin also make the case that AI isn't out of reach, even for companies that don't see themselves as tech-savvy. With tools like Power BI and the rise of generative AI, businesses of all sizes can use AI to improve their operations without a major overhaul. AI is becoming more accessible, and it's something that can make a real difference no matter your industry. Be sure to leave us a review on your favorite podcast platform to help new listeners find us!

Ever think about how data can solve real-world problems? Rob and Justin are here to break it down! They're diving into how data analytics is changing the game in industries like manufacturing, agriculture, and construction—where the work is hands-on, and the results matter. From managing logistics to cutting downtime and optimizing inventory, they show how data is becoming the go-to tool for getting things done. Justin shares a personal "aha!" moment from his days in manufacturing, where stepping out of the office and onto the floor opened his eyes to data gaps you just can't catch from behind a desk. Rob also reflects on his time in construction and how those real-world experiences shaped his view of business today. Rob and Justin keep it real, cutting through the noise to show how understanding the world behind the numbers is the key to solving real problems. Enjoyed the conversation? Leave us a review on your favorite podcast platform to help us reach more listeners!

Think farming and data don't mix? Think again! In this episode, Paul Grissom from Pacific Ag Rentals (PAR) brings the heat, showing how data is shaking things up in agriculture. From slashing manual work to making on-the-spot decisions with real-time insights, Paul shares how technology is helping PAR not just keep up, but thrive. Whether you're a data geek or just curious about how tech is fueling growth in unexpected ways, this episode is a fun, eye-opening ride into the future of farming. Paul doesn't hold back—he shares an honest take on what it's like to bring data into a hands-on industry like agriculture. You'll hear how PAR is using data to optimize equipment, streamline their operations, and seriously level up their business. And the best part? It's not just about crunching numbers; it's about seeing real growth and making smarter moves every day. If you think data is only for tech companies, Paul's story will change your mind—and maybe even get you excited about what data can do for your business. What makes this episode a must-listen? Paul's down-to-earth vibe and no-fluff approach. He breaks it all down so anyone can understand how data is making a real-world impact, even in an industry as hands-on as farming. It's the kind of story that shows how a little tech can go a long way, no matter what field you're in. If you're looking for inspiration on how data can fuel growth in your own world, this is the episode for you! Loved what you heard? Let us know! Leave a review and tell us what you think—your feedback helps us bring you more awesome stories like Paul's, packed with insights you can use right now.

Is the Midmarket Secretly Winning with the Microsoft Data Platform? In this episode, host Rob Collie explores a surprising quirk in how Microsoft's powerful data tools like Power BI and Fabric are being used. It turns out that midsize companies - not big enterprises - are actually getting the most bang for their buck from these game-changing data platforms. The episode explains how the speed and affordability of the new Microsoft tools give smaller organizations a real advantage. Rob also shares an unexpected lesson he's recently uncovered through his own personal analytics projects. Even with just two basic data points per player, he was able to unlock a crazy amount of useful insights and stories. It just goes to show the hidden richness that can be found in even the most simple datasets. Check out the Hockey Dashboard referenced! So tune in to find out how a "bathtub" of data can hold an "ocean" of information - plus hear about the midmarket's secret winning strategy. It's an episode you won't want to miss! Subscribe now for new episodes every week, packed with practical data insights!

Join us for a down-to-earth chat with Microsoft's Scott Sewell, a guy who's seen it all when it comes to the crossroads of tech, business, and just being human. Scott's got a front-row seat to how empathy—yeah, that often-overlooked human quality—is actually a game-changer in today's tech-driven world. We talk about why understanding what makes people tick isn't just good for the soul, it's critical for delivering solutions that really hit the mark. But let's get real: no one loves the drudge work, and Scott's here to tell us why those days are numbered. We dig into how AI, especially within the Microsoft Fabric and Dynamics world, is cutting out the busy work that bogs us down. Imagine freeing up your time to focus on the stuff that truly matters—Scott shows us how it's not just possible, it's happening right now. Scott's got some great stories up his sleeve, too, about how embracing AI isn't just a cool thing to do—it's essential if you want to keep up. Whether it's getting rid of those tedious manual tasks or unlocking insights that were once out of reach, Scott makes it clear: the clock's ticking on drudge work, and the future is all about working smarter, not harder. So, if you're ready to hear how empathy and AI can transform your business (and your day-to-day), tune in. Scott's insights will have you rethinking what's possible—and why the mundane should be left in the dust. If you enjoyed this episode, we'd love for you to leave a review! Your feedback helps us reach more listeners who are looking to transform their business with data, tech, and a bit of empathy. Plus, it helps new listeners discover the show so they can join in on the conversation.

We're still buzzing with excitement over here at P3 Adaptive about Microsoft Fabric and this week, Rob and Justin take a look at some client use cases. The gist of it? This tool is seriously shaking things up for our clients in the best way possible. The P3 Adaptive team has been playing around with Fabric, and let me tell you, it's a game-changer. It's like giving your data superpowers - speeding things up, putting more control in users' hands, and tackling those pesky data hurdles. We're seeing companies out there not just dipping their toes in but really diving deep with Fabric. They're zeroing in on specific pain points and watching Fabric work its magic. The cool part? Teams are becoming data ninjas on their own, without always having to run to the BI department for help. It's all about exploring data your way and making smarter decisions, faster. The impact of Fabric isn't just hype - it's real and it's happening now. Across different industries, we're seeing Fabric turn data challenges into opportunities. Teams that used to struggle with data are now working through it smoothly. Companies are not only handling their data more efficiently but are also uncovering insights they never knew existed. It's like watching businesses unlock a whole new level of data mastery, and the results are seriously impressive. Fabric is proving that when it comes to data, the future isn't just bright - it's already here and making waves. Want to stay in the loop on all things Fabric and data innovation? Don't miss out on our future episodes! Subscribe now and get the latest insights, tips, and success stories delivered straight to your inbox.

Ever feel like everyone's got an opinion on AI these days? Rob and Justin sure do, and in this episode of Raw Data, they're not afraid to call it as they see it. Fresh off Rob's solo deep dive into AI, they sit down to unpack the good, the bad, and the overhyped in the world of artificial intelligence. No jargon, no buzzwords - just straight talk about what AI can (and can't) do. From chatbots that sound eerily human to the reality of AI "hallucinations," Rob and Justin break it all down in a way that actually makes sense. They're not here to sell you on AI being the next big thing or convince you it's all smoke and mirrors. Instead, they offer a refreshingly honest take on where AI shines and where it falls flat. Want to know how AI might change your job? Rob and Justin dig into real-world examples, from call centers to coding. Power BI folks, there's something in here for you too - turns out AI might be a game-changer for some tasks, but it's not gunning for your job just yet. By the end of the episode, you'll have a clearer picture of what AI means for you, your work, and the world at large. No tech degree required - just bring your curiosity and maybe a healthy dose of skepticism. Got thoughts on AI? Rob and Justin want to hear them. Join the Raw Data Steering Committee on LinkedIn to be part of the conversation!

Dive into the world of manufacturing where data meets decision-making with Madison Brooks, an expert from P3 Adaptive who brings her chemical engineering and industry experience to the forefront. This episode zeroes in on why the manufacturing sector is the ideal ground for leveraging Power BI and Power Apps, tools that transform raw data into actionable insights and streamlined processes. Madison discusses the integration challenges and triumphs, illustrating how these technologies drive efficiency and innovation in manufacturing operations. Throughout the discussion, Madison provides practical examples from her extensive background, demonstrating how Power BI and Power Apps optimize everything from production lines to inventory management. She highlights specific case studies where these tools have enabled manufacturers to pivot quickly, reduce waste, and better understand their operational dynamics through enhanced data visualization and application development. For professionals in the manufacturing industry or those exploring how to enhance operational efficiencies with technology, this episode offers invaluable insights. Madison breaks down complex tech solutions into understandable and implementable strategies that can profoundly impact business outcomes in Manufacturing Data Analytics. Listen now and discover how you can transform your manufacturing operations. Be sure to subscribe to our podcast for ongoing episodes where we simplify the complex, through down-to-earth conversations about data, tech, and the real business impact.

Today we are coming at you a day early for a timely bonus episode with Rob Collie diving deep into the digital disruption that shook the world: The Great CrowdStrike Hiccup of 2024. Picture this: a day when the antivirus behemoth stumbled, and the digital realm felt the shockwaves, akin to a #VALUE! error in your perfectly tuned DAX formula—but on a colossal, global scale. Before you start placing the blame on IT, let's take a step back to see the broader view. This incident with CrowdStrike, while jarring, underscores the exceptional resilience typically woven into our digital fabric. Consider it the outlier in your data set that highlights how well everything else aligns. Every day, countless professionals from coders to IT support keep our digital infrastructure running as smoothly as a finely tuned Power Query. The key lesson from this event? Our digital networks are sturdier than they appear, much like a robust pivot table equipped with slicers. Despite the hiccup, the swift response from tech teams worldwide to rectify the issue was nothing short of remarkable. It's a nod to the everyday heroes in tech who ensure that our systems run without a hitch. So, the next time you see that meme mocking "the other side," remember, we're all part of the same intricate data model of life. And, don't worry, we are still on track for a full-length release tomorrow. Be sure to tune in then when we welcome special guest Madison Brooks to share some behind-the-scenes insight on Power BI, Power Apps, and the manufacturing industry!

It's time to dive back into the wild world of AI with Rob Collie. Get ready to cut through the hype and uncover the real deal on artificial intelligence. In today's episode, Rob examines the varied faces of AI, from its potential to revolutionize industries with breakthrough innovations to its ability to streamline our daily activities and make routine tasks more efficient. Have you ever wondered how AI might be influencing your life without you even noticing? Rob brings these abstract concepts down to earth. He provides a fresh perspective on how AI operates silently yet significantly in the background of our daily interactions and decision-making processes. You'll leave this episode with a clearer understanding of how to interact with AI effectively, recognizing its benefits while being mindful of its limitations. Rob's insights will help you navigate the AI landscape with confidence, armed with the knowledge to identify genuine opportunities and avoid common traps. Don't miss out on your weekly dose of tech reality! Subscribe to Raw Data on your favorite podcast platform. Stay ahead of the curve and discover how technology is reshaping our world!

This week we're talking with Power BI MVP Kristyna Ferris about flipping the script on how we look at business data. She has some cool ideas about viewing things from the outside that might change how you think about your company's data. Kristyna walks us through her approach, showing how she used Power BI to get a bird's eye view of an organization It's eye-opening - like she's put her company under a giant microscope, revealing all sorts of connections and patterns hiding in plain sight. She catches all sorts of interesting things, from what customers are really up to, to where things are getting gummed up in operations. But here's the kicker - Kristyna doesn't just sit there admiring the view. She takes what she sees and makes real changes. She'll run through some examples of how this outside-in perspective led to actual improvements. We're talking streamlined processes, new market opportunities - the whole nine yards. The best part? Kristyna's figured out how to get everyone else on board with this way of thinking. She's got some great tips for creating a culture where people are itching to step back and look at the big picture. It's about building a team that's always on the lookout for the next big "aha!" moment. If you're tired of staring at the same old dashboards and want to see your business in a whole new light, you'll want to tune in. And be sure to hit subscribe  for new weekly content. And remember, sometimes, you've gotta step outside to really see what's going on inside.

Dive into an intriguing exploration with Shawn Rogers, CEO of BARC US, as we delve into whether Power BI is a stepping stone to mastering Artificial Intelligence (AI) and Machine Learning (ML), or if it's the other way around. This episode isn't just about technology—it's a deep dive into the symbiotic relationship between business intelligence tools and the latest advancements in AI. With his extensive background in analytics and business intelligence, Shawn unravels how Power BI can serve as both a platform leveraging AI capabilities and a beneficiary of AI-driven enhancements. He discusses the dynamic interplay where AI not only complements but also extends the functionalities of Power BI, transforming how businesses interpret and act on data. Listeners will gain a nuanced understanding of how to strategically prepare their Power BI setups to both utilize and enhance AI technologies. Tune in and see firsthand how Power BI and AI are reshaping the analytics landscape together. Whether you're deep into data or just starting to see its potential impact on your business, Shawn Rogers brings a wealth of expertise that bridges the technical with the practical. Are you looking for a podcast that cuts through the noise? Raw Data by P3 Adaptive breaks down complex data topics into business value you can use. From business intelligence and dashboards to AI and digital transformation, we make it simple and relatable. Don't forget to subscribe and leave a review on your favorite platform!

Last week, Rob talked about his personal use Power BI Model for tracking his wife's changes in medicine and symptoms.  This week, Rob and Justin explore a bit more about this model, and its readiness for AI and Machine Learning - and discuss how this readiness factor applies to other PBI models in business!

This week's Raw Data Podcast features a thoughtful discourse with host Rob Collie, who shares how his expertise in data analytics plays a crucial role far beyond the confines of office walls. Rob discusses the sophisticated data model he has developed to manage the health of a family member, detailing the careful balance of medication, symptoms, and environmental influences that the model helps orchestrate. As Rob walks us through the system, he reflects on the transformative impact that this data model has had on their lives. It's a practical example of “analytics nirvana,” where data handling becomes second nature, fully integrated into the rhythm of everyday life. Rob's story illustrates the seamless intersection of data management and personal care, providing a powerful testimony to the versatility of data analytics. Join Rob as he delves into how data can not only guide business decisions but also anchor critical personal health strategies. It's an exploration of how data models can deeply embed themselves into our personal lives, making the management of complex health conditions more navigable. And, as always, if you enjoyed the show, be sure to leave us a review on your favorite podcast platform to help new users find the show.

In this week's episode of The Raw Data Podcast, we're excited to reconnect with Chris Finlan, a pivotal figure at Microsoft in the evolution of SQL Server Reporting Services and now a leading advocate for Power BI. Chris invites us on a journey from his early career breakthroughs to his current pioneering work in data analytics. Joined by host Rob Collie, Chris revisits an extraordinary story: a data model he crafted over a decade ago that still powers significant operations at a major organization. This isn't merely a conversation about the durability of technology—it underscores the lasting impact of thoughtfully designed data solutions that continue to perform year after year. If you're curious about how innovations in technology continue to shape business today, or if you love hearing the personal stories behind the tech, this episode is definitely for you. Tune in for a perfect blend of nostalgia and insightful reflections, delivered in Chris's unique style from his experiences at Microsoft. Be sure to subscribe to The Raw Data Podcast on your favorite platform for more down-to-earth conversations about data, tech, and biz impact, and join us in exploring the fascinating intersection of technology and practical business solutions. Also in this episode: The Persistent Power of Pagination, w/Microsoft's Chris Finlan

Dive into this week's episode where we explore the fascinating intersection of technology and creativity with Forrest Brazeal. Forrest, a former software engineer turned tech educator, uses his unique talents in art and music to break down the barriers of traditional tech communication. This episode features Forrest sharing his journey from coding complex software to crafting educational and engaging content that lights up the tech community. He discusses how artificial intelligence is woven into the fabric of our daily tools, making it essential yet invisible, and gives practical examples that bring this technology to life for listeners of all backgrounds. Forrest also takes us behind the scenes of his creative process. Whether it's sketching out a cartoon that simplifies cloud computing or composing a catchy tune about network security, his methods are as effective as they are enjoyable. It's a fresh take on tech education that proves learning about technology doesn't have to be daunting—it can actually be a lot of fun. Intrigued by the blend of tech and creativity? Subscribe to The Raw Data Podcast on your favorite podcast platform for new content on data, tech, and their business impacts delivered to your inbox every week. Good Tech Things The AI Cartoon - Pile of Complexity

On this episode Rob and Justin sit down with Miguel Myers, Principal Program 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