Shows
The Analytics Power Hour#274: Real Talk About Synthetic Data with Winston Li
Synthetic data: it’s a fascinating topic that sounds like science fiction but is rapidly becoming a practical tool in the data landscape. From machine learning applications to safeguarding privacy, synthetic data offers a compelling alternative to real-world datasets that might be incomplete or unwieldy. With the help of Winston Li, founder of Arima, a startup specializing in synthetic data and marketing mix modelling, we explore how this artificial data is generated, where its strengths truly lie, and the potential pitfalls to watch out for!
Articles, Events, and a Paper Mentioned in the Show
(Article) How to...2025-06-2458 minThe Analytics Power Hour#273: Data Products Are… Assets? Platforms? Warehouses? Infrastructure? Oh, Dear. with Eric Sandosham
Is it just us, or are data products becoming all the rage? Is Google Trends a data product that could help us answer that question? What actually IS a data product? And does it even matter that we have a good definition? If any of these questions seem like they have cut and dried answers, then this episode may just convince you that you haven’t thought about them hard enough! After all, what is more on-brand for a group of analysts than being thrown a question that seems simple only to dig in to realize that it is mo...2025-06-101h 09The Analytics Power Hour#272: When the Metric is Calculated and Complex with Dan McCarthy
No matter how simple a metric’s name makes it sound, the details are often downright devilish. What is a website visit? What is revenue? What is a customer? Go one level deeper with a metric like customer acquisition cost (CAC) or customer lifetime value (CLV or LTV, depending on how you acronym), and things can get messy in a hurry. In some cases, there are multiple “right” definitions, depending on how the metric is being used. In some cases, there are incentive structures to thumb the definitional scale one way or another. In some cases, a hastily made choice...2025-05-271h 03The Analytics Power Hour#271: It Might Be Irrational, but Let’s Talk Behavioral Science with Dr. Lindsay Juarez
Data that tracks what users and customers do is behavioral data. But behavioral science is much more about why humans do things and what sorts of techniques can be employed to nudge them to do something specific. On this episode, behavioral scientist Dr. Lindsay Juarez from Irrational Labs joined us for a conversation on the topic. Nudge vs. sludge, getting uncomfortably specific about the behavior of interest, and even a prompting of our guest to recreate and explain a classic Seinfeld bit!
Items of Interest Mentioned in the Show
(Paper) The extreme illusion of understanding by...2025-05-131h 00
Any Insights Yet? with Chris KocekWhy Data isn’t Truth: Finding Clarity in the Chaos with Tim Wilson & Valerie Kroll of facts & feelingsIn a world obsessed with big data, robust dashboards, and faster answers, what if the real insight about insights has to do with slowing down and making real connections?That’s how Tim Wilson and Valerie Kroll approach each project, working with organizations to help them rethink their approach to data analytics and consumer insights. Over the years, their facts & feelings approach has made a huge impact on a wide variety of brands, including Yoplait, Time Warner, Adobe, P&G, Purell, Marriott, Lysol, and more. Instead of more data, they suggest using less data, informed by...2025-05-011h 15The Analytics Power Hour#270: AI and the Analyst. We’ve Got It All Figured Out.
We finally did it: devoted an entire episode to AI. And, of course, by devoting an episode entirely to AI, we mean we just had GPT-4o generate a script for the entire show, and we just each read our parts. It’s pretty impressive how the result still sounds so natural and human and spontaneous. It picked up on Tim’s tendency to get hot and bothered, on Moe’s proclivity for dancing right up to the edge of oversharing specific work scenarios, on Michael’s knack for bringing in personality tests, on Val’s patience in getting the whole...2025-04-291h 01
The Analytics Power Hour#270: AI and the Analyst. We've Got It All Figured Out.We finally did it: devoted an entire episode to AI. And, of course, by devoting an episode entirely to AI, we mean we just had GPT-4o generate a script for the entire show, and we just each read our parts. It's pretty impressive how the result still sounds so natural and human and spontaneous. It picked up on Tim's tendency to get hot and bothered, on Moe's proclivity for dancing right up to the edge of oversharing specific work scenarios, on Michael's knack for bringing in personality tests, on Val's patience in getting the whole discussion to get...2025-04-291h 01The Analytics Power Hour#269: The Ins and Outs of Outliers with Brett Kennedy
How is an outlier in the data like obscenity? A case could be made that they’re both the sort of thing where we know it when we see it, but that can be awfully tricky to perfectly define and detect. Visualize many data sets, and some of the data points are obvious outliers, but just as many (or more) fall in a gray area—especially if they’re sneaky inliers. z-score, MAD, modified z-score, interquartile range (IQR), time-series decomposition, smoothing, forecasting, and many other techniques are available to the analyst for detecting outliers. Depending on the data, though, the mo...2025-04-151h 08The Analytics Power Hour#268: You Get an Insight! And YOU Get an Insight! with Chris Kocek
Do you cringe at the mere mention of the word, “insights”? What about its fancier cousin, “actionable insights”? We do, too. As a matter of fact, on this episode, we discovered that Moe has developed an uncontrollable reflex: any time she utters the word, her hands shoot up uncontrolled to form air quotes. Alas! Our podcast is an audio medium! What about those poor souls who got hired into an “Insights & Analytics” team within their company? Egad! Nonetheless, inspired by an email exchange with a listener, we took a run at the subject with Chris Kocek, CEO of Gallant Branding, wh...2025-04-011h 07The Analytics Power Hour#267: Regression? It Can be Extraordinary! (OLS FTW. IYKYK.) with Chelsea Parlett-Pelleriti
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 predict...2025-03-181h 01The Analytics Power Hour#266: AI Projects: From Obstacles to Opportunities 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...2025-03-0458 minThe Analytics Power Hour#266: AI Projects: from Obstacles to Opportunities
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 be...2025-03-0458 minThe Analytics Power Hour#265: Connected Wellness in the Age of AI with Michael Tiffany
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 Dy...2025-02-1855 minThe Analytics Power Hour#264: When the Analyst’s Toolbox Includes Assessing the Zeitgeist with Erika OlsonWe 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 m...2025-02-041h 08The Analytics Power Hour#264: When the Analyst’s Toolbox Includes Assessing the Zeitgeist with Erika Olson
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...2025-02-041h 08The Analytics Power Hour#263: Analytics the Right Way
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 f...2025-01-211h 06The Analytics Power Hour(Bonus) 2024 Listener Survey…Wrapped!
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.
Links to Items Mentioned in the Show
analyticshour.io/themes
analyticshour.io/survey
#199: Media Measurement Revisited: Ma...2025-01-1422 minThe Analytics Power Hour#262: 2025 Will Be the Year of… with Barr Moses
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. un...2025-01-071h 08The Analytics Power Hour#261: 2024 Year in Review
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...2024-12-241h 03The Analytics Power Hour#260: Once Upon a Data Story with Duncan Clark
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 stor...2024-12-101h 00The Analytics Power Hour#259: Dateline Data
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!
Links to the stories discussed (in order of appearance):
The most-streamed TV shows are...2024-11-261h 01The Analytics Power Hour#255: Dear APH-y: Career Inflection PointsTo 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...2024-10-0159 minThe Analytics Power Hour#254: Is Your Use of Benchmarks Above Average? with Eric SandoshamIt'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...2024-09-171h 04The Analytics Power Hour#252: The Ever-Shifting Operating Environment of the Data ProfessionalBroadly writ, we’re all in the business of data work in some form, right? It’s almost like we’re all swimming around in a big data lake, and our peers are swimming around it, too, and so are our business partners. There might be some HiPPOs and some SLOTHs splashing around in the shallow end, and the contours of the lake keep changing. Is lifeguarding…or writing SQL…or prompt engineering to get AI to write SQL…or identifying business problems a job or a skill? Does it matter? Aren’t we all just trying to get to the Insight...2024-08-2052 minThe Analytics Power Hour#250: Real World Data (RWD) Lessons from Healthcare-land with Dr. Lewis CarpenterA claim: in the world of business analytics, the default/primary source of data is real world data collected through some form of observation or tracking. Occasionally, when the stakes are sufficiently high and we need stronger evidence, we'll run some form of controlled experiment, like an A/B test. Contrast that with the world of healthcare, where the default source of data for determining a treatment's safety and efficacy is a randomized controlled trial (RCT), and it's only been relatively recently that real world data (RWD) -- data available outside of a rigorously controlled experiment -- has begun...2024-07-231h 05The Analytics Power Hour#249: Three Humans and an AI at Marketing Analytics SummitHow good are humans at distinguishing between human-generated thoughts and AI-generated…thoughts? Could doing an extremely unscientific exploration of the question also generate some useful discussion? We decided to dig in and find out with a show recorded in front of a live audience at Marketing Analytics Summit in Phoenix! With Michael in the role of Peter Sagal, Julie, Tim, and Val went head-to-GPU by answering a range of analytics-oriented questions. Two co-hosts delivered their own answers, and one co-host delivered ChatGPT's, and the audience had to figure out which was which. Plus, a bit of audience Q&A, wh...2024-07-0946 minThe Analytics Power Hour#247: Professional Development, Analytically Speaking with Helen CrossleyProfessional development is a big topic—way more than just thinking about what job you want in five years and setting milestones along the way. Thankfully we had Helen Crossley, Senior Director of Marketing Science at Meta, join Michael, Moe, and Val to dive deep into this topic! We explored how to set really good, meaningful goals, the challenges across each stage from junior analyst to leader, and how to give great feedback. We also spent quite a bit of time discussing the new challenges that becoming a first-time manager presents and, hopefully, some helpful tips and thought exercises to...2024-06-111h 02The Analytics Power Hour#244: Data Is Everywhere. Why Do We Limit Ourselves by Default?In order to produce a stellar analysis, have you ever requested a team to teardown a Tesla and count every last washer and battery cell? No? Well our guest this week, Jason DeRise, joined Tim, Julie, and Val to share that story and others on how alternative data can be used to enrich analyses. Luckily you don’t have to have a Wall Street-sized budget in order to tap into the power of alternative data. Looking just outside your tried and true data sets and methodologies to see how you might be able to add to your mosaic of un...2024-04-301h 01The Analytics Power Hour#242: The Rise and Fall of Data Communities with Pedram NavidData communities have played a major role in the careers of many analysts, but times they are a-changin'. We're not sure if we're different, if the communities' purposes and missions have shifted, or both. One thing we are confident in, though, is that Pedram Navid was absolutely the right guest to invite on to the show to explore the topic alongside Michael, Moe, and Val. His blog post last year that discussed how "this used to be fun" was a great reflection on some of the environmental trends influencing the communities we've come to know and love. But don't...2024-04-0258 minThe Analytics Power Hour(Bonus) Marketing Analytics Summit Is Nigh!Long-time listeners to this show know that its origin and inspiration was the lobby bar of analytics conferences—the place where analysts casually gather to unwind after a day of slides interspersed with between-session conversations initiated awkwardly and then ended abruptly when the next session begins. Of the many conferences where this occurs, Marketing Analytics Summit (née, eMetrics) is the one in which this show is most deeply rooted. And, we'll be recording an episode in front of a live audience with all of the North America-based co-hosts on Friday, June 7, 2024, in Phoenix, Arizona at the next one! To...2024-03-2613 minThe Analytics Power Hour#240: Asking Better Questions with Taylor Buonocore GuthrieThey say an analysis is only as good as the question that was asked, so for our 2024 International Women's Day Episode, Julie, Moe, and Val were joined by Taylor Buonocore Guthrie to discuss how to ask better questions. Every analyst is naturally curious, but the thoughtfulness that Taylor puts into what type of questions to ask, how to ask them, and when to ask them to get the optimal response is truly an art form. Instead of drilling the five-whys the next time you are gathering context with a business partner for an analysis or conducting discovery interviews, try...2024-03-051h 11
The Connected College Podcast with Elliot FelixTelling A Story with Data with Valerie KrollHow can you tell compelling stories with data in college and your career? Elliot and data analytics expert Valerie Kroll dive into this topic. They follow Val's path from college to market research to optimization and go through concrete suggestions on knowing your audience and what to do before, during, and after a big presentation.2024-01-2522 minThe Analytics Power Hour#236: The AI Ecosystem with Matthew LynleyAptiv, Baidu, Cerebras, Dataiku… we could keep going… and going… and going. If you know what this list is composed of (nerd), then you probably have some appreciation for how complex and fast moving the AI landscape is today. It would be impossible for a mere human to stay on top of it all, right? Wrong! Our guest on this episode, Matthew Lynley, does exactly that! In his Substack newsletter, Supervised, he covers all of the breaking news in a way that's accessible even if you aren't an MLE (that’s a "machine learning engineer," but you knew that already...2024-01-091h 04The Analytics Power Hour#233: Analytics Mentors (Having One, Being One)To mentor, or not to mentor, that is the question: whether 'tis more productive to hole up in a cubicle and toil away without counsel, or to hold close one's experience to the benefit of no one else. Perchance, the author of this show summary should have checked with one of his mentors before attempting a Shakespearian angle. But, he didn't, and the show title is pretty self-explanatory, so we'll just roll with it. On this episode, Michael, Val, and Tim chatted about mentorship: its many flavors, its many uses, and what has and has not worked for them...2023-11-2851 minThe Analytics Power Hour#232: The Reality of Uncertainty Meets the Imperative of Actionability with Michael KaminskyIt's been said that, in this world, nothing is certain except death and taxes, so why is it so hard to communicate uncertainty to stakeholders when delivering an analysis? Many stakeholders think an analysis is intended to deliver an absolute truth; that if they have just enough data, a smart analyst, and some fancy techniques, that the decision they should make will emerge! In this episode, Tim, Moe, and Val sat down with Michael Kaminsky, co-founder of Recast, to discuss strategies such as scenario planning and triangulation to help navigate these tricky conversations. Get comfortable with communicating the strengths...2023-11-1457 minThe Analytics Power Hour#231: Estimating the Effort for Analytics ProjectsHave you ever noticed that recipes that include estimates of how long it will take to prepare the dish seem to dramatically underestimate reality? We have! And that’s for something that is extremely knowable and formulaic — measure, mix, and cook a fixed set of ingredients! When it comes to analytics projects, when you don't know the state of the data, what the data will reveal, and how the scope may shift along the way, answering the question, "How long will this take?" can be downright terrifying. Happy Halloween! Whether you are an in-house analyst or working in an agen...2023-10-311h 02The Analytics Power Hour#230: First, We Must Discover. Then, We Can Explore. With Viyaleta ApgarSeemingly straightforward data sets are seldom as simple as they initially appear. And, many an analysis has been tripped up by erroneous assumptions about either the data itself or about the business context in which that data exists. On this episode, Michael, Val, and Tim sat down with Viyaleta Apgar, Senior Manager of Analytics Solutions at Indeed.com, to discuss some antidotes to this very problem! Her structured approach to data discovery asks the analyst to outline what they know and don’t know, as well as how any biases or assumptions might impact their results before they dive in...2023-10-1755 minThe Analytics Power Hour#229: Data and the ABCs (SERIES A, B, and C, That Is!) with Samantha WongMost of the time, we think of analytics as taking historical data for a business, munging it in various ways, and then using the results of that munging to make decisions. But, what if the business has no (or very little) historical data… because it's a startup? That's the situation venture capitalists — especially those focused on early stage startups — face constantly. We were curious as to how and where data and analytics play a role in such a world, and Sam Wong, a partner at Blackbird Ventures, joined Michael, Val, and Tim to explore the subject. Hypotheses and KPIs came u...2023-10-0352 minThe Analytics Power Hour#227: Demystifying Complex Data Science Concepts for Non-Technical Audiences with Dr. Nicholas Cifuentes-GoodbodyOne of the biggest challenges for the analyst or data scientist is figuring out just how wide and just how deep to go with stakeholders when it comes to key (but, often, complicated) concepts that underpin the work that's being delivered to them. Tell them too little, and they may overinterpret or misinterpret what's been presented. Tell them too much, and they may tune out or fall asleep… and, as a result, overinterpret or misinterpret what's been presented. On this episode, Dr. Nicholas Cifuentes-Goodbody from WorldQuant University joined Julie, Val, and Tim to discuss how to effectively thread that pa...2023-09-051h 01The Analytics Power Hour#218: Delivering Value by Listening for Problems with Matty WishnowDo you ever feel like the experiments and analyses you're working on feel a little bit like a trip on a hamster wheel — properly grounded in hypotheses, perhaps, but not necessarily moving the business forward like you'd hoped? On this episode, Matty Wishnow, the author of Listening for Growth: What Startups Need the Most but Hear the Least, joined Moe, Tim, and Val for a discussion about why that may be, and how reframing the work to focus first and foremost on identifying problems (and unmet opportunities) can be useful! For complete show notes, including links to items mentioned in...2023-05-0253 minThe Analytics Power Hour#216: Operationalizing a Culture of Experimentation with Lukas VermeerHow does one build a strong culture of experimentation at an organization (and what does that even mean)? One way is to spend a few years working at a company that already has such a culture… and then jump ship to another organization that is well on its way! That's (sort of) what our guest, Lukas Vermeer, did when he left booking.com to go to Vista. With Val Kroll guest-co-hosting, we dug into the challenges — organizational, educational, and mindset-al (?) — when it comes to having an organization successfully and appropriately integrate experimentation into their operational ways. For complete show notes...2023-04-0459 minThe Analytics Power Hour#214: Impostor Syndrome. Wait. Are We Even Qualified to Discuss That? with Julie Hoyer and Val KrollDo you listen to this podcast because you're pretty sure that you're a professional fraud, and you're hoping-hoping-hoping that you will absorb enough knowledge to stay ahead of being exposed as such? Well, stop that negative self-talk! Impostor syndrome is a very real thing, and we've devoted a whole show to digging into it! Julie Hoyer and Val Kroll joined Moe on this International Women's Day episode to discuss the topic. It turns out that there has been a lot of research in the area, there ARE techniques for battling it, and it IS useful to hear how common...2023-03-0751 minThe Analytics Power Hour#147: The Podcast Book Club Do you know someone who always seems to have read the latest books and can cite concepts and ideas and authors and titles in any situation? Do you hate that person? Honestly, so do we. But that didn't stop us from recording an episode that, potentially, will grate on your nerves in such a way that you have to draw on your inner grit (Grit: The Power of Passion and Perseverance by Angela Duckworth) to get through it. But, with luck, there will be some good ideas that make it into your long-term memory (Brain Rules: 12 Principles...2020-08-1143 minThe Analytics Power Hour#146: The Manager/Analyst RelationshipAnalytics is hard (so they say... but we're not going to open THAT can of worms). Do you know what's harder? Managing analysts! I mean, they're always asking, “Why?” Sometimes, they even ask it five times! They can wind up, you know, analyzing whatever you're asking them to do! On this episode, special guest Moe Kiss (you may know her as a co-host of this podcast) joined Michael and Tim to dig into the ins and outs of the analyst/manager relationship. For complete show notes, including links to items mentioned in this episode and a transcript of the show...2020-07-2856 minThe Analytics Power Hour#145: COVID-19 Analysts, Policy, and Black Swans with Gary AngelA wise man once said, "All forecasts basically assume that tomorrow is going to be very similar to today, just with an adjustment or two." That wise man was Gary Angel from Digital Mortar, and he said that on this very episode as we explored the ramifications for the analyst when the historical data is not at all a proxy for the near-term and medium-term future. What is the analyst to do when her training data has become as worthless as a good, firm handshake? If your prediction—based on listening to past episodes—is that Gary and our intr...2020-07-1452 minThe Analytics Power Hour#144: Landing the Dream Data Job with Ollie DarmonRemember back when the global economy was booming and analysts were both in the sexiest job of the century and on the favorable side of the supply-demand curve for talent? Those were the days! On this episode, we sat down with Ollie Darmon from Canva to get his perspective, as an in-house recruiter, on what candidates can and should do to not only get in the door, but to actually close the deal and get hired. For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.2020-06-301h 01The Analytics Power Hour#143: These Are a Few (More) of Our Favorite (Analytics) TipsNo one has ever been disappointed by a sequel, right? Especially when the original was well-received both by the critics and at the box office. Well, Episode #134: "These Are a Few of Our Favorite (Analytics) Tips" scored an 83% Tomatometer with an audience score of 91% on Rotten Tomatoes. As it happened, those are the same scores that The Sound of Music achieved, and they're pretty impressive. Unlike The Sound of Music, we decided we'd give our fans what they clearly wanted and release another episode of our (just as favorite) analytics tips! For complete show notes, including links to items...2020-06-161h 03The Analytics Power Hour#142: Analytics Tribe of Mentors with Jen YacendaA hallmark of the analytics community is the generosity with which ideas and wisdom are shared. One of the largest analytics conferences each year is Adobe Summit. One of the most followed Tims on the planet wrote a book called Tribe of Mentors: Short Life Advice from the Best in the World. Jen Yacenda and Eric Matisoff mixed all three of these truths together in preparation for an hour-long presentation chock full of excellent career advice. And then Adobe Summit went virtual, and their session got drastically shortened. On this episode, Jen joined the gang to talk through (some...2020-06-021h 03The Analytics Power Hour#141: The State of Martech, Analytically Speaking, with David RaabIt sometimes seems like there must be a Moore's Law of marketing technology (or "martech," as the cool kids call it, and our site is on a .io domain, so we’re definitely the cool kids) whereby the number of platforms available doubles every 6 to 8 weeks. And, every couple of months, it seems, a whole new category emerges. From CMS to DAM to CRM to TMS to DMP to DSP to CDP, it's an alphabet soup of TLAs that no one can make sense of PDQ! On this episode, Michael, Moe, and Tim sat down with the man who co...2020-05-1956 minThe Analytics Power Hour#140: The Analyst as Cartographer: Customer Journey Mapping with Monica WeilerThe promise of digital—and the steady shift of consumers' interactions with brands to that medium over the course of the past two decades—is that we can now see so much more of what our customers and prospects DO. But, how much does that tell us about who they really are, why they do what they do, and how they feel as they do it? What are they thinking and feeling as they cross between channels, task shift to and from interacting with your brand, and try to move their lives forward in whatever way that matters to them...2020-05-0552 minThe Analytics Power Hour#139: Workshops: When the Best Analysis Is Actually Human Collaboration with Jody WeirSometimes, the best way to get alignment, generate new ideas, hash out different perspectives, or just effectively collaborate is to shift a gathering of peers from being a "meeting run by the organizer" to a "workshop run by a facilitator." Both meetings and workshops should have clear objectives, but workshops, when planned and run well, shift the mindset of the participants even before they arrive in the meeting room (which may make sense to have as a room at an off-site location). On this episode, we chat with master facilitator Jody Weir from THE ICONIC about her experiences, tips...2020-04-2158 minThe Analytics Power Hour#138: Pants-Optional Spreadsheeting: When the Analyst Works RemotelyThese are interesting times in which we work, are they not? For many analysts, "remote work" is what they call "every weekday" or, for those who don't have things fully figured out, "every day that ends in 'Y.'" For other analysts, the current pandemic has forced them into being an unplanned — and not necessarily desired — full-time remote worker. Juggling kids, silencing pets, finding a horizontal work surface, and grappling with which pair of sweatpants to don are all the sorts of challenges (opportunities?!) that remote working can bring. On this show, we explore our experiences and thoughts and tips...2020-04-0757 minThe Analytics Power Hour#137 - Data Science + Words: An NLP Meet Cute for Analysts with Dr. Joe SutherlandDid you know that there were monks in the 1400s doing text-based sentiment analysis? Can you name the 2016 movie that starred Amy Adams as a linguist? Have you ever laid awake at night wondering if stopword removal is ever problematic? Is the best therapist you ever had named ELIZA? The common theme across all of these questions is the broad and deep topic of natural language processing (NLP), a topic we've been wanting to form and exchange words regarding for quite some time. Dr. Joe Sutherland, the Head of Data Science at Search Discovery, joined the discussion and converted...2020-03-241h 01The Analytics Power Hour#136: An Analyst and a CRO Walk Into a Podcast with Michele Kiss and Valerie KrollFor our special International Women's Day episode, we committed a type one error and peeked at our results, so we are releasing this winner three days early. As good analysts, we set out to optimise the podcast by swapping out Tim and Michael for two guests (it's rare for Tim to be in the control group, but he's an outlier either way). Unfortunately, it turns out we confused testing with personalisation, so we invited along a family member, Michele Kiss, as well as CRO expert Valerie Kroll, to talk about the evolution of the space from conversion rate optimisation...2020-03-0858 minThe Analytics Power Hour#135: Superweek 2020 – the Last Mile of AnalyticsHave you heard the one about the four analysts who run a podcast who walked into a resort in Hungary? Well, now you can! Or, at least get a taste of that experience. Michael, Moe, Tim, and Josh headed to Superweek last month and, among other things, did a 12-hour audio livestream to try to give interested listeners a taste of the experience. On this episode, we're bringing you just over an hour (occasionally, we "power" right past the "hour" mark) of that livestream, centered around (but not limited to!) Michael's presentation on "the last mile of analytics," which...2020-02-251h 07The Analytics Power Hour#134: These Are a Few of Our Favorite (Analytics) Tips"QA and patience and reviews by a peer. Data viz testing, hold no chart too dear. Don’t be an asshole; automate 'til it stings. These are a few of our favorite things!" With apologies to Julie Andrews, on this episode, Moe, Tim, and Michael shared some of the tactical tips and techniques that they have found themselves putting to use on a regular basis in their analytics work. The resulting show: multiple tips, minimal disagreements, and moderate laughter. For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the sh...2020-02-1155 minThe Analytics Power Hour#133: Server-Side vs. Client-Side Tracking with Mike RobinsOnce upon a time, website behavioral data was extracted from the log files of web servers. That data was messy to work with and missing some information that analysts really wanted. This was the OG "server-side" data collection. Then, the JavaScript page tag arrived on the scene, and the data became richer and cleaner and easier to implement. That data was collected by tags firing in the user's browser (which was called "client-side" data collection). But then ad blockers and browser quirks and cross-device behavior turned out to introduce pockets of unreliability into THAT data. And now here we...2020-01-2848 minThe Analytics Power Hour#132: Reporting vs. AnalysisWho would have thought that we'd get to 2020 and still be debating whether recurring reports should include "insights?" As it turns out, Tim did an ad hoc analysis back in 2015 where he predicted exactly that! Unfortunately, the evidence is buried in the outbox of his email account at a previous employer. So, instead, we've opted to just tackle the topic head-on: what is a report, anyway? What are the different types of reports? What should they include? What should they leave out? And where does "analysis" fall in all of this? We have so many opinions on the subject...2020-01-1457 minThe Analytics Power Hour#131: 2019 Year in ReviewIt's the end of the year, and we know it, and we feel fiiiiine. Or, maybe we have a little anxiety. But, for the fifth year in a row, we're wrapping up the year with a reflective episode: reflecting on changes in the analytics industry, the evolution of the podcast, and the interpersonal dynamics between Tim and Michael. From the state of diversity in the industry (and on the show), to the trends in analytics staffing and careers, to the growing impact of ethical and privacy considerations on the role of the analyst, it's an episode chock full of...2019-12-311h 08The Analytics Power Hour#130: Data Stories with Nancy DuarteOnce upon a time, there was an analyst. And that analyst had some data. She used that data to do some analysis, and from that analysis she realized she had some recommendations she could make to her organization. This was the point where our intrepid analyst reached a metaphorical fork in Communication Road: would she hastily put all of her thoughts together quickly in a slide deck with charts and graphs and bullets, or would she pause, step back, and craft a true data story? Well, if she listened to this episode of the podcast with presentation legend Nancy...2019-12-1758 minThe Analytics Power Hour#129: Data Accuracy and Completeness with Yali SassoonHow accurate is your data? How accurate is any of our data? If our data is more accurate, will we make better decisions? How MUCH better? Why do the show blurbs of late have so many questions? THAT is a question we can ACCURATELY answer: because the shows grapple with challenging questions! On this episode, Snowplow co-founder Yali Sassoon joined us to chat about the nuts and bolts of data accuracy: the inherent messiness of client-side tracking (but, also, the limitations of server-side tracking), strategies of incrementally improving data accuracy (and the costs therein), and the different types of...2019-12-0355 minThe Analytics Power Hour#128: Neuroscience, the Customer Experience, and the Data Therein with Diana Lucaci READ ME!!! LISTEN!!! DO YOU KNOW WHY THIS IS IN ALL CAPS?! IS IT RAISING YOUR HEART RATE?! IS IT MAKING YOU A LITTLE IRRITATED?! IT MIGHT BE! IF IT IS, WE COULD MEASURE IT, AND MAYBE WE WOULD REALIZE THAT WE WERE INDUCING A SUBCONSCIOUS EMOTIONAL RESPONSE AND REALLY SHOULD TURN OFF THE CAPS LOCK! That’s the topic of this episode: the brain. Specifically: neuroscience. Even more specifically: neurodesign and neuromarketing and the measurement and analytics therein. We're talking EEGs, eye tracking, predictive eye tracking, heart rate monitoring, and the like (and why it matters) wi...2019-11-1955 minThe Analytics Power Hour#127: Is Multi-Touch Marketing Attribution Dead? Should It Be? With Priscilla CheungMulti-touch attribution is like fat free cheese: it sounds like a great idea, it seems like technology would have made it amazing and delicious by now, and, yet, the reality is incredibly unsatisfying. Since we’ve recently covered how browsers are making the analyst’s lot in life more difficult, and since multi-touch attribution is affected by those changes, we figured it was high time to revisit the topic. It’s something we’ve covered before (twice, actually). But interest in the topic has not diminished, while a claim could be made that reality has gone from being merely a cold d...2019-11-0552 minThe Analytics Power Hour#126: When the Data Contradicts Conventional Wisdom with Emily OsterDid you hear the one about the Harvard-educated economist who embraced her inner wiring as a lateral thinker to explore topics ranging from HIV/AIDS in Africa to the impact of Hepatitis B on male-biased sex ratios in China to the range of advice and dicta doled out by doctors and parents and in-laws and friends about what to do (and not do!) during pregnancy? It’s a data-driven tale if ever there was one! Emily Oster, economics professor at Brown University and bestselling author of Expecting Better and Cribsheet, joined the show to chat about what happens when th...2019-10-2255 minThe Analytics Power Hour#125: Modern Browsers and the Destruction of the Analyst's Dreams with Cory UnderwoodAre you down with ITP? What about ETP? Are you pretty sure that the decline in returning visitors to your site that has everyone in a tizzy is largely due to increasingly restrictive cookie handling by browsers? Do you really, really, REALLY want Google, Apple, Mozilla, and even Microsoft to get on the same page when it comes to cookie handling and JavaScript subtleties? So many questions! Lucky for us (and you!), Measure Slack legend (and L.L. Bean Senior Programmer/Analyst) Cory Underwood has some answers. Or, at least, he will depress you in delightful ways. For complete...2019-10-0854 minThe Analytics Power Hour#124: Image-ine What the Analyst Can Do Using Machine Vision with Ali VanderveldHave you ever noticed that 68.2% of the people who explain machine learning use a "this picture is a cat" example, and another 24.3% use "this picture is a dog?" Is there really a place for machine learning and the world of computer vision (or machine vision, which we have conclusively determined is a synonym) in the real world of digital analytics? The short answer is the go-to answer of every analyst: it depends. On this episode, we sat down with Ali Vanderveld, Director of Data Science at ShopRunner, to chat about some real world applications of computer vision, as well...2019-09-2459 minThe Analytics Power Hour#123: Ad Fraud with Augustine FouWhat percentage of digital ad impressions and clicks do you think is actually the work of non-human bots? Pick a number. Now double it. Double it again. You’re getting close. A recent study by Pixalate found that 19 percent of traffic from programmatic ads in the U.S. is fraudulent. David Raab from the CDP Institute found this number to be "optimistic." Ad fraud historian Dr. Augustine Fou, our guest on this show, has compelling evidence that the actual number could easily be north of 50 percent. Why? Who benefits? Why is it hard to tamp out? Is it illegal (it...2019-09-101h 00The Analytics Power Hour#122: Dealing with Disparate Stakeholders with Astrid IllumIt’s 1:00 AM, and you can’t sleep. The paid search manager needs to know whether brand keywords can be turned off without impacting revenue. The product team needs the latest A/B test results analyzed before they can start on their next sprint. The display media intern urgently needs your help figuring out why the campaign tracking parameters he added for the campaign that launches in two days are breaking the site (you’re pretty sure he’s confusing “&” and “?” again). And the team running the site redesign needs to know YESTERDAY what fields they need to include in the new headl...2019-08-2759 minThe Analytics Power Hour#121: Onboarding the AnalystSomewhere between "welcome to the company, now get to work!" and weeks of tedious orientation sessions (that, presumably, include a few hours with the legal department explaining that, should you be on a podcast, you need to include a disclaimer that the views expressed on the podcast are your own and not those of the company for which you now work), is a happy medium when it comes to onboarding an analyst. What is that happy medium, and how does one find it? It turns out the answer is that favorite of analyst phrases: "it depends." Unsatisfying? Perhaps. But...2019-08-1350 minThe Analytics Power Hour#120: Causal Inference with Bradley FayListen. Really. That's what you can do. You can listen to this episode and find out what you learn. Or you can NOT listen to the show and NOT find out what you learn. You can't do both, which means that, one way or the other, you WILL be creating your very own counterfactual! That, dear listener, is a fundamental concept when it comes to causal inference. Smart analysts and data scientists the world over are excited about the subject, because it provides a means of thinking and application techniques for actually getting to causality. Bradley Fay from DraftKings...2019-07-3048 minThe Analytics Power Hour#119: What Grinds Our Gears - MAS 2019Have you ever thought it would be a great idea to have a drink or two, grab a microphone, and then air your grievances in a public forum? Well, we did! This episode of the show was recorded in front of a live audience (No laugh tracks! No canned applause!) at the Marketing Analytics Summit (MAS) in Las Vegas. Moe, Michael, and Tim used a “What Grinds Our Gears?” application to discuss a range of challenges and frustrations that analysts face. They (well, Moe and Tim, of course) disagreed on a few of them, but they occasionally even proposed some...2019-07-1645 minThe Analytics Power Hour#118: Ethics in AI with Finn LattimoreDid you hear the one about how the AI eliminated cancer? It just wiped out the human race! As machine learning and artificial intelligence are woven more and more into the fabric of our daily lives, we are increasingly seeing that decisions based purely on code require a lot of care to ensure that the code truly behaves as we would like it to. As one high profile example after another demonstrates, this is a tricky challenge. On this episode, Finn Lattimore from Gradient Institute joined the gang to discuss the different dimensions of the challenge! For complete show...2019-07-0251 minThe Analytics Power Hour#117: What's in a Job Title? Maybe the Data Shows!What's in a job title? That which we call a senior data scientist by any other job title would model as predictively... This, dear listener, is why the hosts of this podcast crunch data rather than dabble in iambic pentameter. With sincere apologies to William Shakespeare, we sat down with Maryam Jahanshahi to discuss job titles, job descriptions, and the research, experiments, and analysis that she has conducted as a research scientist at TapRecruit, specifically relating to data science and analytics roles. The discussion was intriguing and enlightening! For complete show notes, including links to item...2019-06-1859 minThe Analytics Power Hour#116: Analytics Education at Scale with Justin Cutroni from GoogleRemember that time you ran a lunch-and-learn at your company to show a handful of co-workers some Excel tips? What would have happened if you actually needed to fully train them on Excel, and there were approximately a gazillion users*? Or, have you ever watched a Google Analytics or Google Tag Manager training video? Or perused their documentation? How does Google actually think about educating a massive and diverse set of users on their platform? And, what can we learn from that when it comes to educating our in-house users on tool, processes, and concepts? In this episode, Justin...2019-06-0454 minThe Analytics Power Hour#115: Build vs. Buy with June Dershewitz from Twitch A simple recipe for a delicious analytics platform: combine 3 cups of data schema with a pinch of JavaScript in a large pot of cloud storage. Bake in the deployment oven for a couple of months, and savory insights will emerge. Right? Why does this recipe have both 5-star and 1-star ratings?! On this episode, long-standing digital analytics maven June Dershewitz, Director of Analytics at Twitch, drops by the podcast's analytics kitchen to discuss the relative merits of building versus buying an analytics platform. Or, of course, doing something in between! The episode was...2019-05-2154 minThe Analytics Power Hour#114: ITP 2.0? 2.1? Whatever it takes!We're not sure what's going on with this episode. For some reason, we have a bunch of first-time listeners, and they're all from Apple devices! Maybe it's because the show only comes out every two weeks, and the first-party cookies we've been using to track our listeners are now expiring after seven days! (This is a hilarious episode description if you're well-versed in the ins and outs and ethical and philosophical aspects of WebKit's Intelligent Tracking Prevention (ITP) 2.1. If you're not, then you might want to listen to the gang chat with Kasper Rasmussen from Accutics about the topic...2019-05-071h 00The Analytics Power Hour#113: Getting the Most Out of ConferencesHave you ever attended a conference? Did you know that analysts over-index towards introversion?* Have you ever struggled to figure out how to start a conversation over a cold pastry and a cup of tepid coffee at a conference breakfast? IS there actually a point in developing and executing a strategy when it comes to attending a conference? Is it annoying to listen to people who speak pretty regularly at conferences pontificate about speaking at conferences? Some of these questions are answered on this episode! For complete show notes, including links to items mentioned in this episode...2019-04-2352 minThe Analytics Power Hour#112: Demystifying Data Science with Ian ThomasAre you a data scientist? I mean, are you really a data scientist? What does that even mean...other than a healthy salary increase? On this episode of the show, Ian Thomas, Chief Data Officer for Publicis Spine sat down with the three co-citizen-data-scientists who regularly host the show to delve into the subject! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.2019-04-0953 minThe Analytics Power Hour#111: Automation in Analytics with Erik DriessenWe thought we deserved a break from the podcast, so we went looking for some AI to take over the episode. Amazon Polly wasn't quite up to the task, unfortunately, so we wound up sitting down as humans with another human -- Erik Driessen from Greenhouse -- to chat about the different ways that automation can be put to use in the service of analytics: from pixel deployment to automated alerts to daily reports, there are both opportunities and pitfalls! For complete show notes, including links to items mentioned in this episode and a transcript of the...2019-03-2651 minThe Analytics Power Hour#110: Creating Balanced Teams (and Avoiding Groupthink)In recognition of International Women's Day, and because it's a really important topic, this is a very special episode. The two straight, white, cisgender male co-hosts of this podcast sat this episode out, while Moe took over the mic for an in-depth discussion with Alison Vorsatz from Fairygodboss and Aubrey Blanche from Atlassian about diversity (a term they both try to avoid) in the workplace. If this episode doesn't change your perspective and compel you to action, you are almost certainly not a human being. For complete show notes, including links to items mentioned in this episode...2019-03-0754 minThe Analytics Power Hour#109: RAD Podcast Analytics with Stacey Goers from NPRDo you know something that is really simple? Really Simple Syndication (aka, RSS). Did you know that RSS is the backbone of podcast delivery? Well, aren't you clever! What's NOT really simple is effectively measuring podcasts when a key underlying component is a glorified text file that tells an app how to download an audio file. Advertisers, publishers, and content producers the world over have been stuck with "downloads" as their key -- and pretty much only -- metric for years. That's like just counting "hits" on a website! But, NPR is leading an initiative to change all that...2019-02-2641 minThe Analytics Power Hour#108: Smart Speaker Measurement with Steve Mulder from NPR"Hey, Google! How do you measure yourself?" "I'm sorry. I can't answer that question. Would you like to listen to a podcast that can?" National Public Radio has long been on the forefront of the world of audio media. Why, you might even remember episode #046, where Steve Mulder from NPR made his first appearance on the show discussing the cans and cannots of podcast measurement! On this episode, Mulder returns to chat about how much more comfortable we have become when it comes to conversing with animated inanimate objects, as well as the current state of what data is...2019-02-1256 minThe Analytics Power Hour#107: Bringing Data Science to the Enterprise with Dr. Katie SassoWhat does it really take to bring data science into the enterprise? Or... what does it take to bring it into your part of the enterprise? In this episode, the gang sits down with Dr. Katie Sasso from the Columbus Collaboratory...because that's similar to what she does! From the criticality of defining the business problem clearly, to ensuring the experts with the deep knowledge of the data itself are included in the process, to the realities of information security and devops support needs, it was a pretty wide-ranging discussion. And there were convolutional neural networks (briefly). Fo...2019-01-2954 minThe Analytics Power Hour#106: SQL and the Digital Analyst with Pawel KapuscinskiWHERE were you the first time you listened to this podcast? Did you feel like you were JOINing a SELECT GROUP BY doing so? Can you COUNT the times you've thought to yourself, "Wow. These guys are sometimes really unFILTERed?" On this episode, Pawel Kapuscinski from Analytics Pros (and the Burnley Football Club) sits down with the group to shout at them in all caps. Or, at least, to talk about SQL: where it fits in the analyst's toolbox, how it is a powerful and necessary complement to Python and R, and who's to blame for the existence of so...2019-01-1551 minThe Analytics Power Hour2018 Year in Review!Happy New Year! Sure. The ball has dropped in Times Square, and a new year means an opportunity to look forward. But, we wanted to take a quick look back first -- on the industry, on the podcast, and on the world in general. From GDPR to Bayesian statistics to machine learning and AI to... podcast (and #mattgershoffed) stickers, 2018 was, clearly, the Year of the Analyst. So keep analyzing! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.2019-01-0150 minThe Analytics Power Hour#104: Getting the Data Collection Right with Adam GrecoHave you ever had stakeholders complain that they're not getting the glorious insights they expect from your analytics program? Have you ever had to deliver the news that the specific data they're looking for isn't actually available with the current platforms you have implemented? Have you ever wondered if things might just be a whole lot easier if you threw your current platform out the window and started over with a new one? If you answered "yes" to any of these questions, then this might be just the episode for you. Adam "Omniman" Greco -- a co-worker at Analytics...2018-12-1857 minThe Analytics Power Hour#103: Customer Data Platforms Revisited with Todd Belcher from CDP ResourceWhat's the hot new technology of 2018? AI? Deep Learning? Pole-dancing robots? Maybe. Or, maybe it's customer data platforms (CDPs) -- a topic we actually covered way back in January 2017 on episode #053 with Todd Belcher, who, at the time, was with CDP provider BlueConic. Since then, Todd left BlueConic to start CDP Resource, which is, well, a resource for companies looking to select, implement, and maintain a CDP. We asked Todd to come back on the show to give us the rundown on how there is now -- finally -- clarity, consolidation, and maturity in the space, as all of th...2018-12-0453 minThe Analytics Power Hour#102: Data and Disasters (of the Natural Kind)Perspective is a good thing. We've all agonized about a misreported metric or an unsatisfying entry page analysis and had to remind ourselves that we're not exactly saving lives with our work. On this episode, though, the gang actually meanders into life-and-death territory by chatting about one of the uses of data outside of the world of digital marketing and websites and eCommerce: natural disaster preparation and response. Sherilyn Burris from Cascia Consulting joins Michael, Moe, and Tim to chat about her experiences in a variety of roles in just that area, how she uses data, how the data lands...2018-11-2055 minThe Analytics Power Hour#101: Diving into Data Lakes with Rohan Dhupelia from AtlassianRemember when you used to keep all of your data packed into data boxes and stacked up on a bunch of data shelves in your state-of-the-art data warehouse? Well, it might be time to fire up the data forklift and haul all of those boxes out of the structured order of your data warehouse and dump them into a data lake so that it can float and sink and swim around in semi-structured and unstructured waters. On this episode, Rohan Dhupelia joins the gang to talk about his thoughts and experiences from engineering just that sort of move at Atl...2018-11-0650 minThe Analytics Power Hour#100 - Listener Questions Answered!To think, it was barely-considered subtle humor that we used two trailing zeros in episode #001. But, despite our best efforts to destroy our reputations or our livers long before we centupled that original episode, we failed on both fronts, and we now need that third significant digit! For this special episode, we invited listener questions, and our listeners responded. Some of them blew right past the time limit on their questions, but that's okay: we blew (slightly) past the one hour mark for the show. For complete show notes, including links to items mentioned in this episode an...2018-10-231h 10The Analytics Power Hour#099: How Technical Should the Analyst Be? With Simo Ahava!Are you deeply knowledgable in JavaScript, R, the DOM, Python, AWS, jQuery, Google Cloud Platform, and SQL? Good for you! If you're not, should you be? What does "technical" mean, anyway? And, is it even possible for an analyst to dive into all of these different areas? English philosophy expert The Notorious C.M.O. (aka, Simo Ahava) returns to the show to share his thoughts on the subject 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.2018-10-091h 02The Analytics Power Hour#098: Successfully Managing the AnalystAs the axiom goes: people don’t leave companies; they leave their managers. And, good analysts are constantly being approached with new opportunities. So, what’s the secret formula for hanging on to analytics talent? Assuming simply chaining them to their desks isn’t an option, then the trick is keeping them happy and motivated. On this episode, the gang discusses their experiences and perspectives on the topic. Tim tried to quit the show just before recording, but he then discovered that Michael had chained him to his desk. For complete show notes, including links to items mentio...2018-09-2557 minThe Analytics Power Hour#097: Spotting and Assessing Analytics Talent with Simon RumbleTell me about a time you produced an amazing analysis. Please provide your response in the form of a Jupyter notebook that uses Python or R (or both!) to pull words from a corpus that contains all words in the OED stored in a BigQuery table. I mean, that's a fair question to ask, right? No? Well, what questions and techniques are effective for assessing an analyst's likelihood of succeeding in your organization? How should those techniques differ when looking for a technical analyst as opposed to a more business-oriented one? On this episode of the show -- recorded...2018-09-1154 minThe Analytics Power Hour#096: Analyzing Online Learning Options for the Analyst with Lizzie Allen-KleinMama always said: life is like a box of chocolates, and online learning is sometimes like one of those boxes where you don’t know which piece is delicious nougat and which piece is some sort of nasty, coconut-y cream. Well, maybe not your mama. But, it’s a big world, so, surely, there’s a mother out there somewhere who would agree with the sentiment. On this episode, the gang chatted with Google Consumer Insights Analyst Lizzie Allen-Klein about different learning styles and different approaches and options for learning new (and hard!) analytical skills. And there might have been a...2018-08-2858 minThe Analytics Power Hour(Bonus) 1:1 with Jodi Daniels: GDPR and CCPA (Privacy!) UpdatesFor this mini-episode, Tim sits down (virtually) with Episode #077 guest Jodi Daniels from Red Clover Advisors to chat about the world of privacy post-May 25, 2018 (GDPR), as well as the upcoming California Consumer Privacy Act of 2018 (CCPA). Has the free-wheeling world of free-flowing consumer data ended, or are companies simply learning how to behave with more care? Give it a listen to find out?2018-08-2113 minThe Analytics Power Hour#095: The Rise of BI with Taylor UdellBusiness Intelligence. It’s a term that’s been around for a few decades, but that is every bit as difficult to nail down as “data science,” “big data,” or a jellyfish. Think too hard about it, and you might actually find yourself struggling to define “analytics!” With the latest generation of BI tools, though, it’s a topic that is making the rounds at cocktail parties the world over! (Cocktail parties just aren’t what they used to be.) On this episode, the crew snags Taylor Udell from Heap to join in a discussion on the subject, and Moe (unsuccessfully...2018-08-1454 minThe Analytics Power Hour#094: Scaling a Culture of Experimentation with Andrea Burbank from PinterestThe company: "Hey, you. That's a mighty nice test you've run. We should be doing that a lot more of those." You: "Um...okay. But, I'm only one person." In this episode, the gang chats with Pinterest's Andrea Burbank (Twitter | Pinterest) about how she (loosely) dealt with this scenario: from sheer force of will to get some early wins to strategic thinking combined with late nights, an obsession with checklists, and a willingness to be flexible as she slowly, but firmly, pushed the organization to steadily increasing test volume and test reliability. And sweet potato gnocchi. For...2018-07-3151 minThe Analytics Power Hour#093: The Proclivities and Personal Perspectives of the AnalystHumans are creatures of habit. And analysts — those of us who haven’t been so drawn into the world of artificial intelligence that we have become cyborgs, at least — are humans. In this episode, the gang explores the good and the bad side of analytical habits: what analyses we gravitate towards, how we go about approaching those analyses, and, to some extent, how those habits are impacted by our organizational environments. With a side dish of, “What is a data scientist, anyway?” (because who can resist a question that is both rhetorical AND controversial?!). For complete show notes, inc...2018-07-1751 minThe Analytics Power Hour#092: A Special Report - Data Journalism Meets Business Analytics with Walt HickeyOnce upon a time, there was some data. And that data cried out to be extracted and analyzed and packaged up like the most exquisite of gifts and then presented gloriously to an eager and excited group of stakeholders. But, alas! Will this data story have a happy ending? Perhaps. Perhaps not! And that’s the subject of this episode. Sort of. Our intrepid hosts ask the question, “How can we communicate more effectively by applying the tricks of the data journalism trade?” To answer that question, Walt Hickey, late of fivethirtyeight.com and now the founder and curator of the...2018-07-0349 minThe Analytics Power Hour#091: Data Literacy and (at!) MEE!Are you reading this? If so, then you are literate. But, are you (and are your stakeholders) data literate? What does that even mean? On this episode -- recorded in front of a live audience at Marketing Evolution Experience in Las Vegas -- the gang tackled the topic. Mid-way through the show, they were delighted to be joined on stage by Gary Angel (unplanned, but due to a series of unfortunate travel and communication mishaps -- recording with a live audience is exciting! He is officially over halfway to joining the podcast's Five-Timers Club)! It was an engaging discussion wi...2018-06-1937 min