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Tim Wilson, Michael Helbling, Moe Kiss, Val Kroll, and Julie Hoyer에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Tim Wilson, Michael Helbling, Moe Kiss, Val Kroll, and Julie Hoyer 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
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"The basic premise of the event is that hunters hunt rattlesnakes from the surrounding environment all across West Texas, and bring them into the roundup for the weekend. And during the roundup, these snakes are kept in a pit and then, one by one, beheaded and skinned in front of in front of audiences." - Elizabeth MeLampy Elizabeth MeLampy is a lawyer dedicated to animal rights and protection, and her passion for this work shines through in her latest book, Forget the Camel, the Madcap World of Animal Festivals and What They Say About Being Human . To research the book, Elizabeth traveled across the country, immersing herself in a wide range of animal festivals — from the Iditarod dog sled race to the rattlesnake roundup in Sweetwater, Texas. Elizabeth examines these festivals as revealing microcosms of our broader relationship with animals. Whether it's rattlesnake hunts, frog-jumping contests, ostrich races, or groundhog celebrations, these events reflect the ways humans use animals to express cultural identity, community pride, and historical traditions. Yet beneath the pageantry and excitement lies a deeper question: Is our fascination with these spectacles worth the toll it takes on the animals involved? With compassion and insight, Elizabeth invites readers to consider whether there’s a more ethical and empathetic way to honor our stories — one that respects both animals and the traditions they inspire. Please listen, share and read, Forget the Camel. It will be released on April 8th, 2025. https://apollopublishers.com/index.php/forget-the-camel/…
The Analytics Power Hour explicit
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Manage series 62283
Tim Wilson, Michael Helbling, Moe Kiss, Val Kroll, and Julie Hoyer에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Tim Wilson, Michael Helbling, Moe Kiss, Val Kroll, and Julie Hoyer 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
Attend any conference for any topic and you will hear people saying after that the best and most informative discussions happened in the bar after the show. Read any business magazine and you will find an article saying something along the lines of "Business Analytics is the hottest job category out there, and there is a significant lack of people, process and best practice." In this case the conference was eMetrics, the bar was….multiple, and the attendees were Michael Helbling, Tim Wilson and Jim Cain (Co-Host Emeritus). After a few pints and a few hours of discussion about the cutting edge of digital analytics, they realized they might have something to contribute back to the community. This podcast is one of those contributions. Each episode is a closed topic and an open forum - the goal is for listeners to enjoy listening to Michael, Tim, and Moe share their thoughts and experiences and hopefully take away something to try at work the next day. We hope you enjoy listening to the Digital Analytics Power Hour.
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278 에피소드
모두 재생(하지 않음)으로 표시
Manage series 62283
Tim Wilson, Michael Helbling, Moe Kiss, Val Kroll, and Julie Hoyer에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Tim Wilson, Michael Helbling, Moe Kiss, Val Kroll, and Julie Hoyer 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
Attend any conference for any topic and you will hear people saying after that the best and most informative discussions happened in the bar after the show. Read any business magazine and you will find an article saying something along the lines of "Business Analytics is the hottest job category out there, and there is a significant lack of people, process and best practice." In this case the conference was eMetrics, the bar was….multiple, and the attendees were Michael Helbling, Tim Wilson and Jim Cain (Co-Host Emeritus). After a few pints and a few hours of discussion about the cutting edge of digital analytics, they realized they might have something to contribute back to the community. This podcast is one of those contributions. Each episode is a closed topic and an open forum - the goal is for listeners to enjoy listening to Michael, Tim, and Moe share their thoughts and experiences and hopefully take away something to try at work the next day. We hope you enjoy listening to the Digital Analytics Power Hour.
…
continue reading
278 에피소드
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The Analytics Power Hour


1 #267: Regression? It Can be Extraordinary! (OLS FTW. IYKYK.) with Chelsea Parlett-Pelleriti 1:01:11
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Why? Or… y? What is y? Why, it's mx + b! It's the formula for a line, which is just a hop, a skip, and an error term away from the formula for a linear regression! On the one hand, it couldn't be simpler. On the other hand, it's a broad and deep topic. You've got your parameters, your feature engineering, your regularization, the risks of flawed assumptions and multicollinearity and overfitting, the distinction between inference and prediction... and that's just a warm-up! What variables would you expect to be significant in a model aimed at predicting how engaging an episode will be? Presumably, guest quality would top your list! It topped ours, which is why we asked past guest Chelsea Parlett-Pelleriti from Recast to return for an exploration of the topic! Our model crushed it. For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page .…
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The Analytics Power Hour


In celebration of International Women’s Day, this episode of Analytics Power Hour features an all-female crew discussing the challenges and opportunities in AI projects. Moe Kiss, Julie Hoyer and Val Kroll, dive into this AI topic with guest expert, Kathleen Walch , who co-developed the CPMAI methodology and the seven patterns of AI (super helpful for your AI use cases!). Kathleen has helpful frameworks and colorful examples to illustrate the importance of setting expectations upfront with all stakeholders and clearly defining what problem you are trying to solve. Her stories are born from the painful experiences of AI projects being run like application development projects instead of the data projects that they are! Tune in to hear her advice for getting your organization to adopt a data-centric methodology for running your AI projects—you’ll be happier than a camera spotting wolves in the snow! 🐺❄️🎥 For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page .…
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The Analytics Power Hour


1 #265: Connected Wellness in the Age of AI with Michael Tiffany 55:03
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Every listener of this show is keenly aware that they are enabling the collection of various forms of hyper-specific data. Smartphones are movement and light biometric data collection machines. Many of us augment this data with a smartwatch, a smart ring, or both. A connected scale? Sure! Maybe even a continuous glucose monitor (CGM)! But… why? And what are the ramifications both for changing the ways we move through life for the better (Live healthier! Proactive wellness!) and for the worse (privacy risks and bad actors)? We had a wide-ranging discussion with Michael Tiffany , co-founder and CEO of Fulcra Dynamics , that took a run at these topics and more. Why, it's possible you'll get so excited by the content that one of your devices will record a temporary spike in your heart rate! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page .…
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The Analytics Power Hour


1 #264: When the Analyst’s Toolbox Includes Assessing the Zeitgeist with Erika Olson 1:08:15
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We all know that data doesn't speak for itself, but what happens when multiple instruments of measurement contain flaws or gaps that impede our ability to measure what matters on their own? Turning to our intuition and triangulation of what's happening in the broader macro sense can often help explain our understanding of our customers' ever-changing choices, opinions, and actions. Thankfully we had Erika Olson , co-founder of fwd. — which in our opinion is essentially the Freakonomics of marketing consultancies — join Tim, Moe and Val for this discussion to dive into some real-world examples of things that are inherently hard to measure and ways to overcome those challenges. For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page .…
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The Analytics Power Hour


Every so often, one of the co-hosts of this podcast co-authors a book. And by “every so often” we mean “it’s happened once so far.” Tim, along with (multi-)past guest Dr. Joe Sutherland , just published Analytics the Right Way: A Business Leader's Guide to Putting Data to Productive Use , and we got to sit them down for a chat about it! From misconceptions about data to the potential outcomes framework to economists as the butt of a joke about the absolute objectivity of data (spoiler: data is not objective), we covered a lot of ground. Even accounting for our (understandable) bias on the matter, we thought the book was a great read, and we think this discussion about some of the highlights will have you agreeing! Order now before it sells out! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page .…
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The Analytics Power Hour


The start of a new year is a great time for reflection as well as planning for the year ahead. Join us for this special bonus episode where we talk through some of our favorite learnings and takeaways from our 2024 listener survey and some of the ways we’ve already been able to put that feedback into practice! We also have some freebies and helpful nuggets to share with our listeners, so be sure to tune in to learn more. For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page .…
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The Analytics Power Hour


Every year kicks off with an air of expectation. How much of our Professional Life in 2025 is going to look a lot like 2024? How much will look different, but we have a pretty good idea of what the difference will be? What will surprise us entirely—the unknown unknowns? By definition, that last one is unknowable. But we thought it would be fun to sit down with returning guest Barr Moses from Monte Carlo to see what we could nail down anyway. The result? A pretty wide-ranging discussion about data observability, data completeness vs. data connectedness, structured data vs. unstructured data, and where AI sits from an input and an output and a processing engine. And more. Moe and Tim even briefly saw eye to eye on a thing or two (although maybe that was just a hallucination). For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page .…
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The Analytics Power Hour


Ten years ago, on a cold dark night, a podcast was started, 'neath the pale moonlight. There were few there to see (or listen), but they all agreed that the show that was started looked a lot like we. And here we are a decade later with a diverse group of backgrounds, perspectives, and musical tastes (see the lyrics for "Long Black Veil" if you missed the reference in the opening of this episode description) still nattering on about analytics topics of the day. It's our annual tradition of looking back on the year, albeit with a bit of a twist in the format for 2024: we took a few swings at identifying some of the best ideas, work, and content that we'd come across over the course of the year. Heated exchanges ensued, but so did some laughs! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page .…
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The Analytics Power Hour


Data storytelling is a perpetually hot topic in analytics and data science. It's easy to say, and it feels pretty easy to understand, but it's quite difficult to consistently do well. As our guest, Duncan Clark, co-founder and CEO of Flourish and Head of Europe for Canva, described it, there's a difference between "communicating" and "understanding" (or, as Moe put it, there's a difference between "explaining" and "exploring"). Data storytelling is all about the former, and it requires hard work and practice: being crystal clear as to why your audience should care about the information, being able boil the story down to a single sentence (and then expand from there), and crafting a narrative that is much, much more than an accelerated journey through the path the analyst took with the data. Give it a listen and then live happily ever after! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page .…
There's data, data everywhere, including in the media! Data often gets collected, analyzed, published in a study, covered by a journalist, and then distilled down to a headline. The opportunities for lost-in-translation (or lost-in-simplification? Lost-in-summarization?) misfires are many. We tried an experiment—each of the available co-hosts brought some headlines that made them raise an eyebrow, and we tested our own data literacy (data skepticism) with a real-time review. The parallels to the day-to-day work of an analyst were many! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page .…
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The Analytics Power Hour


1 #258: Goals, KPIs, and Targets, Oh My! with Tim Wilson 1:05:52
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KPIs? Really? It’s 2024. Can’t we just ask Claude to generate those for us? We say… no. There are lots and lots of things that AI can take on or streamline, but getting meaningful, outcome-oriented alignment within a set of business partners as they plan a campaign, project, or initiative isn’t one of them! Or, at least, we’re pretty sure that’s what our special guest for this episode would say. He’s been thinking about (and ranting about) organizations’ failure to take goal establishment, KPI identification, and target-setting seriously enough for years (we found a post he wrote in 2009 on the subject!). He also really helped us earn our explicit tag for this episode — scatologically and onanistically, we’re afraid. But solid content nonetheless, so hopefully you can hear past that! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page .…
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The Analytics Power Hour


udging by the number of inbound pitches we get from PR firms, AI is absolutely going to replace most of the work of the analyst some time in the next few weeks. It’s just a matter of time until some startup gets enough market traction to make that happen (business tip: niche podcasts are likely not a productive path to market dominance, no matter what Claude from Marketing says). We’re skeptical. But that doesn’t mean we don’t think there are a lot of useful applications of generative AI for the analyst. We do! As Moe posited in this episode, one useful analogy is that thinking of using generative AI effectively is like getting a marketer effectively using MMM when they’ve been living in an MTA world (it’s more nuanced and complicated). Our guest (NOT from a PR firm solicitation!), Martin Broadhurst , agreed: it’s dicey to fully embrace generative AI without some understanding of what it’s actually doing. Things got a little spicy, but no humans or AI were harmed in the making of the episode. For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page .…
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The Analytics Power Hour


For the first time since they've been a party of five, all of the Analytics Power Hour co-hosts assembled in the same location. That location? The Windy City. The occasion? Chicago's first ever MeasureCamp! The crew was busy throughout the day inviting attendees to "hop on the mic" with them to answer various questions. We covered everything from favorite interview questions to tips and tricks, with some #hottake questions thrown in for fun. During the happy hour at the end of the day, we also recorded a brief live show, which highlighted some of the hosts' favorite moments from the day. Listen carefully and you'll catch an audio cameo from Tim's wife, Julie! And keep an eye on the MeasureCamp website to find the coolest way to spend a nerdy Saturday near you (Bratislava, Sydney, Dubai, Stockholm, Brussels, and Istanbul are all coming up before the end of the year!). For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page .…
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The Analytics Power Hour


To data analyst, or to data science? To individually contribute, or to manage the individual contributions of others? To mid-career pivot into analytics, or to… oh, hell yes! That last one isn’t really a choice, is it? At least, not for listeners who are drawn to this podcast. And this episode is a show that can be directly attributed to listeners. As we gathered feedback in our recent listener survey, we asked for topic suggestions, and a neat little set of those suggestions were all centered around career development. And thus, a show was born! All five co-hosts—Julie, Michael, Moe, Tim, and Val—hopped on the mic to collaborate on some answers in this episode. For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page .…
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The Analytics Power Hour


1 #254: Is Your Use of Benchmarks Above Average? with Eric Sandosham 1:04:35
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It's human nature to want to compare yourself or your organization against your competition, but how valuable are benchmarks to your business strategy? Benchmarks can be dangerous. You can rarely put your hands on all the background and context since, by definition, benchmark data is external to your organization. And you can also argue that benchmarks are a lazy way to evaluate performance, or at least some co-hosts on this episode feel that way! Eric Sandosham , founder and partner at Red & White Consulting Partners (and prolific writer ), along with Moe, Tim, and Val break down the problems with benchmarking and offer some alternatives to consider when you get the itch to reach for one! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page .…
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