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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

01:03:15

#190: I See Your Data Layer and Raise You a Metrics...

The Analytics Power Hour ·

2022/04/05

"Modern art" was a terrible label because, ya' know, time would pass and here we are 50 years after the end of that period shaking our heads at what a short-sighted semantic gaff that was. We share that observation for no particular reason. On this episode, we sat down with broad, deep, and entertaining thinker Benn Stancil from Mode to talk about one facet of the modern data stack: the metrics layer. What is it? Who's thinking about solving for it? What is a monthly DAU? These are questions to

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02:38

Announcing Analytics Power Hour… Plus!

The Analytics Power Hour ·

2022/04/01

We are excited to announce APH+, a subscription that includes bonus content and other perks for our most dedicated listeners.

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01:06:34

#189: The Many Hats of the Chief Data Officer with...

The Analytics Power Hour ·

2022/03/22

Can a digital analyst make it to the C-suite? And, if she does, will she wonder, "Oh, dear. WHAT have I gotten myself into?!" The answer to the first question is "Yes!" And our guest for this episode is a proof point: Mai AlOwaish is the Chief Data and Innovation Officer at Gulf Bank, and she spent a good portion of her career in digital analytics before taking on that role! The answer to the second question is, "Not if you go in with a clear vision and strategy!" But, of course, there's a lot more

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01:01:59

#188: Machiavelli for International Women’s Day with...

The Analytics Power Hour ·

2022/03/08

What does Machiavelli have to do with International Women's Day? It turns out, if you read his writings through the lens of the challenges that women face in the workplace, then quite a lot! So much, in fact, that a whole book could be written on the subject. And one was! Machiavelli for Women author Stacey Vanek Smith joins Moe and guest host Julie Hoyer for this women-only episode of the show. If you're a dude and think this show isn't for you, too, then think again! For complete show notes,

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12:51

(Bonus) Women in Analytics and the DataConnect...

The Analytics Power Hour ·

2022/03/01

Remember how we used to have bonus episodes? With International Women’s Day coming up in a week, it seemed like a good time to bring them back. Tim is joined by Rehgan Avon, the founder of the organization that runs the DataConnect Conference, which will be June 2-3, 2022 in Columbus, Ohio (and virtually). It’s a conference open to everyone to attend, but all of the speakers are women or gender minorities. Tim and Rehgan also discuss the current state of gender diversity in the profession and how

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01:01:19

#187: K.P.I. - Three Letters at the Root of...

The Analytics Power Hour ·

2022/02/22

How do we measure the performance of this podcast? With well-formulated KPIs, of course! With targets set for them. Since Tim is the taskmaster who insists we revisit our KPIs every year, we decided he would be our guest for this show, and Michael and Moe would take turns trying to stump him with impromptu role playing as difficult stakeholders in challenging scenarios. 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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01:02:54

#186: Where to Work: So Many (Types of) Companies to...

The Analytics Power Hour ·

2022/02/08

With so many types of companies to work for, and analysts being in high demand, we're at a point where many of us find ourselves in the enviable position of being able to pick which company — and which type of company — we want to work for. Oh, bother! That means… we have to choose! In-house? Consultancy? Agency? Product? What's the "best" option? If you already know the answer is, "It depends," then you just might be the perfect fit for consulting! For complete show notes, including links to items

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01:04:40

#185: These Are Some (More) of Our Favorite Tips

The Analytics Power Hour ·

2022/01/25

Hey, buddy, we've got a good tip for you: buy low, sell high! If you want a more succinct tip, then we've got one word: plastics! If you would like some ACTUAL tips that you might actually want to apply in your day-to-day (or data-to-data) work, then you will have to give this episode a listen. Back by popular demand, we took a meandering walk through some of our go-to tips ("life hacks" if you're in the Bay Area) for productivity, communication, analysis, and more! For complete show notes,

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01:18:10

#184: Psychological Safety and Analytics with J.D. Long

The Analytics Power Hour ·

2022/01/11

Mistakes happen. In healthy work environments, not only is that fact acknowledged, it's recognized as an opportunity to learn. That's something JD Long has been thinking about quite a bit over the past few years, and he joined the show for a chat about psychological safety: what it is, why it's important, and different techniques for engendering it. Michael trolled Tim almost immediately, which is: 1) ironic, and 2) slated to be addressed in a blameless post-mortem. For complete show notes,

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01:11:39

#183: 2021 Year in Review with Josh Crowhurst

The Analytics Power Hour ·

2021/12/28

We did it! Another year in the books, and 2021 was a bit of a ride. As we do every year, on this episode we reflect a little bit on the podcast and then a lot on the industry: what the major themes of 2021 were, and what we think might be coming in 2022. Google Analytics 4, 3rd party cookies, remote work and Zoom meetings, and even the metaverse! Plus, of course, this is our annual excuse to get our executive producer, Josh Crowhurst, on a mic! For complete show notes, including links to items

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01:09:01

#182: Making Better Decisions and Being Useful with...

The Analytics Power Hour ·

2021/12/14

Some would say that, given the breadth and depth of data that is available to businesses these days, a surefire path to business value is to load up a department with smart data scientists, task them with developing a solid machine learning strategy, and then execute that strategy. The people who've said that might take issue with this episode. Cassie Kozyrkov joined the show to discuss decision-making: what it is, how we often frame decisions too narrowly, and the different roles data can play to

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01:03:24

#181: Qualitative + Quantitative = A Meet Cute for...

The Analytics Power Hour ·

2021/11/30

It's a podcast episode. That's WHAT it is. But… WHY should you listen to it? Exactly. Or, perhaps, that's exactly WHY! Are you confused? You won't be after checking out our discussion with Jenni Bruckman about the vast and varied world of qualitative research and how it is the perfect partner to quantitative data. Give it a listen, and then let us know WHY you did and WHAT you thought of it! For complete show notes, including links to items mentioned in this episode and a transcript of the show,

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01:01:09

#180: Media Mix Modeling - Does It Deserve at Least a...

The Analytics Power Hour ·

2021/11/16

Hey there, mister. That's a mighty nice multi-touch attribution model you're using there. It would be a shame to see it get mixed up with a media model. Or... would it? What happens if you think about media mix models as a tool that can be combined with experimentation to responsibly measure the incrementality of your marketing (while also still finding a crust of bread in the corner for so-called "click attribution")? According to a 2019 paper published by ThirdLove (which happens to have been

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01:04:57

#179: Teaching Data Nerds How to Work with... People...

The Analytics Power Hour ·

2021/11/02

What does neuroscience have to do with the work of the analyst? It turns out that neuroplasticity is to the modern analyst what plastics were to Benjamin Braddock, and it all comes down to Hebb's Law. Or, put another way, successfully working with peers and stakeholders can take some focused effort, some feedback, and some practice, and that's what "coach" James Hayes joined the episode to discuss! For complete show notes, including links to items mentioned in this episode and a transcript of the

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01:17:51

#178: The Modern Dashboard Dilemma

The Analytics Power Hour ·

2021/10/19

One of our KPIs for the show is to keep the Topic Repeat Rate (TRR) below 1.2%. From carefully monitoring our show dashboard, we had an actionable insight: we could finally revisit episode #002. Conveniently, the topic of that show was dashboards, which explains the self-referential stemwinder of a description of this episode. That show was "a long, long time ago. We can still remember… when the dashboards used to make us smile." For complete show notes, including links to items mentioned in this

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01:18:17

#177: Design Thinking, Empathy, and the Analyst with...

The Analytics Power Hour ·

2021/10/05

What is a system without empathy? What is a show summary without an attempt to overly distill the discussion to the point of sounding like nonsense? On this episode, Hilary Parker (who you may know from the Not So Standard Deviations podcast or elsewhere) joined us to discuss what we can learn from the design process (as in: actual designers) when it comes to analytics and data science. Among other things, that mindset highlights the importance of the analyst empathizing with stakeholders. Tim got

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01:09:56

#176: Analytics on the High Seas: Data at the Helm of...

The Analytics Power Hour ·

2021/09/21

Stop for a minute and think about the highest stakes campaign or test you've ever run. Were you nervous? Now, instead, imagine that you're on an aircraft carrier with a few thousand people on board whose safety you are responsible for, and your team is about to watch 40,000 tons of ordnance detonate (in an environmentally friendly way) right next to the ship... so you can collect data to verify that the various systems are working as expected. On this episode, our guest can't really talk about the

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01:07:36

#175: Searching to Be a Better Analyst with Wil Reynolds

The Analytics Power Hour ·

2021/09/07

As analysts, it can be easy to get so focused on the data that we lose sight of the imperative that we answer meaningful questions (aka: validating relevant hypotheses). On this episode, we sat down with Wil Reynolds, co-founder and accidental lead generator for SEER Interactive, for a discussion that turned out to be about curiosity and the power of trying to prove yourself wrong (and being willing to invest the time to do so!). In the end, we concluded that Wil has always been a "data person,"

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01:05:10

#174: Who Sits Where and Why and How...with the Data?

The Analytics Power Hour ·

2021/08/24

Have you ever worked in a large organization where the data team(s) are perfectly structured to deliver efficient, harmonious, and meaningful results to the business with 'nary a gap nor a redundancy? If you answered "yes," then we'll go ahead and report you to HR for being a LIAR! From high growth startups to staid enterprises, figuring out how to organize the data and data-adjacent teams is always chock full of tradeoffs. And that's the topic of this episode. For complete show notes, including

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01:15:45

#173: Finding (Baseball) Diamonds in the Analytical...

The Analytics Power Hour ·

2021/08/10

Have you ever thought, "you know, it would be interesting to take my analytical knowledge and just totally run an organization based on what the data says?" Yeah. Us, either. That's terrifying! But, that's exactly what our guest on this episode did. Ben Lindbergh, along with his stathead-in-crime (aka, co-author) Sam Miller, took over the management of a minor league baseball team in 2015, and the result was The Only Rule Is It Has to Work: Our Wild Experiment Building a New Kind of Baseball Team

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