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PODCAST

The Analytics Power Hour

Michael Helbling, Moe Kiss, Tim Wilson, Val Kroll, and Julie Hoyer

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

business marketing

All Episodes

01:10:01

#210: Starting the Year with Culture with Aaron Dignan

The Analytics Power Hour ·

2023/01/10

Happy new year! We're not really resolution-making types, but the incrementing of the annum is a good time to take a breath and think about some ways we might want to approach our work differently. On this episode, we took a pretty big swing at "culture" — sitting down with Aaron Dignan, founder of Murmur, author of Brave New Work (and host of the eponymous podcast) — to discuss some of the ways modern organizations are, well, broken! From there, to the analysts within those organizations, to

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01:04:32

#209: 2022 Year in Review with Josh Crowhurst

The Analytics Power Hour ·

2022/12/27

It's that one-time-of-the-year when we do a little bit of navel-gazing, a little bit of prognostication, and, when the year is a year like 2022, a little more cursing than usual. Not only did the podcast hit a fairly meaningless vanity metric milestone this year, but we also maintained our explicit rating! Executive producer Josh Crowhurst joined us to look back on the podcast and the analytics industry in 2022, as well as to do a little bit of crystal ball gazing into 2023 and beyond! For complete

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59:57

#208: Charting Your Path into Data Leadership with...

The Analytics Power Hour ·

2022/12/13

You've got some solid experience under your belt, and you're starting to feel like you're ready to move into a data leadership role. What does that even mean? Shifting your keystrokes from SQL to slide decks? Maybe (but maybe not). Katie Bauer, Head of Data at GlossGenius, has held multiple data leadership roles over the course of her career, and she penned a thoughtful post on the various tactics she employed to find a role that is a good fit. She wrote the post so that she wouldn't have to keep

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54:23

#207: Data Visualization in a Low-Attention World...

The Analytics Power Hour ·

2022/11/29

As analysts, we conduct analysis on behalf of the business to (hopefully) provide them with clear and objective information to help with making decisions. We use visualizations of data and, when we're really hitting our stride, we even tell data stories. So, how does that compare to mainstream journalism and the stories they tell, especially when there is data that can be visualized in support of the story or the analysis? There could be no better guest than Philip Bump, long-time columnist for

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57:23

#206: AI Through a Social Justice Lens with Renée...

The Analytics Power Hour ·

2022/11/15

Ethics in AI is a broad, deep, and tough subject. It's also, arguably, one of the most important subjects for analysts, data scientists, and organizations overall to deliberately and determinedly tackle as a standard part of how they do work. On this episode, Renée Cummings, Professor of Practice in Data Science and Data Activist in Residence at the University of Virginia (among many other roles), joined us for a discussion of the subject. Her knowledge of the topic is as deep as her passion for

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54:00

#205: Nailing the Data Science / Analytics Job...

The Analytics Power Hour ·

2022/11/01

So, you finally took that recruiter's call, and then you made it through the initial phone screen. You weren't really expecting that to happen, but now you're facing an actual interview! It sounds intense and, yet, you're not sure what to expect or how to prepare for it. Flash cards with statistical concepts? A crash course in Python? LinkedIn stalking of current employees of the company? Maybe. We asked Jay Feng from Interview Query to join us to discuss strategies and tactics for data scientists

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01:02:40

#204: Data as a Product with Eric Weber

The Analytics Power Hour ·

2022/10/18

Have you ever built a data-related "thing" — a dashboard, a data catalog, an experimentation platform, even — only to find that, rather than having the masses race to adopt it and use it on a daily basis, it gets an initial surge in usage… and then quietly dies? That's sorta' the topic of this episode. Except that's a pretty clunky and overly narrow summary. Partly, because it's a hard topic to summarize. But, data as a product and data products are the topic, and Eric Weber, the data scientist

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01:00:23

#203: Is Analytics Addicted to Complexity? with...

The Analytics Power Hour ·

2022/10/04

Do analysts make things more complicated than they need to be, or is the data representing a complex world, so that is just the nature of the beast? Or is it both? Stakeholders yearn for simple answers to simple questions, but the road to delivering meaningful results seems paved with potholes of statistical complexity, data nuances, and messy tooling. What is a business to do? Frederik Werner from DHL joined Michael and Tim for a discussion that definitively determined that, well, the topic

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58:18

#202: Owning vs. Helping in Analytics

The Analytics Power Hour ·

2022/09/20

Here at the Analytics Power Hour, we have a very clear delineation of who owns what when it comes to the show production. And ownership is the topic of this episode. It's possible that the owner of the episode description feels like this is an awfully touchy-feely topic, but said owner also knows that teamwork means going along with the majority when it comes to show topics. I guess that's joint ownership? Can that work? Sadly, that, specifically, was not discussed, but the show definitely earned

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01:06:18

#201: Getting to Clarity About (Statistical)...

The Analytics Power Hour ·

2022/09/06

Our podcast junkie co-host heard the following statement on another podcast a while back when he was out for a jog: "I actually think the word 'uncertainty' is used in English in a very different way than the word 'uncertainty' is used in statistics." He almost ran into a tree (causation is unclear: he's not known for his gross motor skills, which may have been a confounder). Not only is that quote, essentially, the theme for this episode, but the person who said it, Dr. Rebecca Goldin from George

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58:42

#200: Hey, Jim, You Don’t Look a Day Over 200...

The Analytics Power Hour ·

2022/08/23

We try not to navel gaze too much on this show, but our 200th episode felt like just enough of a milestone that we could do a mid-year "look back, look forward" show with a 7-year range. And we tracked down our original Commonwealth representative to join us for that discussion. Did we (first) party (cookie) like it was 1999? Maybe not, but that's the sort of reference you get with Jim Cain, the founder of Napkyn Analytics, and a co-founder of this very podcast! For complete show notes, including

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58:37

#199: Media Measurement Revisited: Matched Markets,...

The Analytics Power Hour ·

2022/08/09

Multi-touch attribution, media mix modeling, matched market testing. Are these the three Ms of marketing measurement (Egad! The alliteration continues!)? Seriously. What's with all the Ms here? Has anyone ever used experimentation to build a diminishing return curve for the impact of a media measurement technique based on how far along in the alphabet the letter of that technique is? Is "M" optimal?! Trust us. You will look back on this description after listening to this episode with John Wallace

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55:09

#198: Live from Marketing Analytics Summit

The Analytics Power Hour ·

2022/07/26

We've always said that the genesis of this podcast was the lobby bar of analytics conferences across multiple continents, and this year's Marketing Analytics Summit in Las Vegas was a reminder of our roots on that front. All three co-hosts made the trip to Caesars Palace for the event. Moe presented on bringing a product mindset to analytics (by "presented on," we mean "workshopped content for a future podcast episode"), and the closing keynote was a recording of the show in front of a live (and

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01:03:33

#197: Did the Dungeon Master Just Pass the Turing...

The Analytics Power Hour ·

2022/07/12

Sure. GPT-3 and large language models in general can take a prompt and spin out in any of a million human-sounding directions. That's neat, but maybe not exactly what you'd want to turn loose as your guide through a narrative multiverse of AI-boosted creative play and community. "A what?" You say. Exactly. In this episode, we dug into Hilary Mason's latest endeavor, Hidden Door, and how she and her team are working to apply the right level of "human" to AI-driven narrative play. Intrigued? You

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01:11:04

#196: Offline Customer Data in a Connected World with...

The Analytics Power Hour ·

2022/06/28

Every consumer is now aware, at some level, that they are constantly generating data simply by moving through the world. And, every organization that puts physical devices or digital experiences into the paths of consumers has to make decisions about what data they collect, how they manage it, and what they do with it (both the immediate plans and what unknown plans may emerge in the distant future). The questions, decisions, and mindsets that this reality brings into play are just one big gray area

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01:05:15

#195: Web3, Web4... Whatever it NFTakes with Anthony...

The Analytics Power Hour ·

2022/06/14

The Web3 world—blockchain, cryptocurrency, NFTs, and more—seems to be everywhere these days. And, as analysts, how could we not salivate at the idea of a data set that is just one flat, immutable, ever-growing table with a handful of columns (aka… a blockchain-powered public ledger)? We sat down with Anthony Mandelli from Coin Metrics to see whether Tim and Moe could be moved from "totally clueless" to "barely knowledgeable" on the topic in a single hour (Michael was already a knowledgeable

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01:13:42

#194: Can Data Help Optimize the Post-COVID Office?...

The Analytics Power Hour ·

2022/05/31

The workplace is changing! Even before COVID, the look, feel, and layouts of offices went through various phases: the rise of cubicles in the 1960s (ick!) and then, decades later, the rise of the open office ("Headphones…deployed!") are just two examples. What does the "next" workplace look like in a world that supports remote work, hybrid work, and in-office work? It looks… complicated (but exciting). On this episode, David Stella from db.19 joined us to discuss how data (and experimentation!) can

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01:03:43

#193: The Modern Data Culture Stack with Prukalpa Sankar

The Analytics Power Hour ·

2022/05/17

It's easy to get sucked into the "technology" side of things when it comes to improving the effectiveness and scaling up data teams, but, much to Tim's dismay, shoring up the people, process, and culture is often just as (if not more) critical. So, sure, we can talk about the modern data stack, but what about the modern data CULTURE stack? Prukalpa Sankar, co-founder of Atlan, joined us for a lively discussion of the topic! For complete show notes, including links to items mentioned in this episode

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01:05:39

#192: One Dimension of Data Strategy: Approaching...

The Analytics Power Hour ·

2022/05/03

If you're like most data workers, you probably spend a little bit of time reacting to and servicing data requests, a bit more time on some larger analysis projects, and then you've got a big pile of free time where you're wondering what else you should be doing. Oh. No? You're absolutely drowning in work and questioning whether you're actually providing value? Yeah. That's actually much more common. We were just kidding with that opener. The great news, though, is that Emilie Schario joined us to

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01:12:03

#191: People Analytics: Data in the Service of...

The Analytics Power Hour ·

2022/04/19

"The people" are often the most valuable asset for a company, so getting the ones who are a good fit, supporting them in their work and their careers, and figuring out what motivates (and demotivates) them is critical. And data—both quantitative and qualitative—can help with that. It's a topic we've wanted to tackle for a long time (well, Moe and Michael have; Tim was confused, as he thought it couldn't be that hard to analyze a data set consisting of a single "Do they do their f***ing job?" boolean

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