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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

01:12:40

#283: Good Things (Can) Come in Small Datasets with...

The Analytics Power Hour ·

2025/10/28

Does size matter? When it comes to datasets, the conventional wisdom seems to be a resounding, "Yes!" But what about small datasets? Small- and mid-sized businesses and nonprofits, especially, often have limited web traffic, small email lists, CRM systems that can comfortably operate under the free tier, and lead and order counts that don't lend themselves to "big data" descriptors. Even large enterprises have scenarios where some datasets easily fit into Google Sheets with limited scrolling

en

01:07:36

#282: Using (and Creating!) Data to Understand Pop...

The Analytics Power Hour ·

2025/10/14

Data does not just magically spring into existence. Someone, somewhere, has to decide what data gets created and the rules for its creation. We would claim that this often starts as a pretty simple exercise, and then, over time, that simplicity balloons to be pretty complex! What if, for instance, you decided to listen to every #1 song on the Billboard Hot 100 going back to its inception in 1958? You may start by just capturing the song name, the artist, and the week(s) it was the #1 song. But,

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01:06:15

#281: Analytics: The View from the Corner Office with...

The Analytics Power Hour ·

2025/09/30

From spreadsheets to strategy: what does data look like from the CEO’s chair? For this episode, we sat down with Anna Lee, CEO of Flybuys and former CFO/COO of THE ICONIC, to get her view on data-led leadership and what great looks like in data and analytics. Discover how Anna's journey from finance to the corner office has shaped her approach to leveraging evidence for strategic decision-making. From productive curiosity, to informed pragmatism, and how data teams can build trust with leadership,

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01:06:51

#280: Dashboards Must Die! Long Live Dashboards! with...

The Analytics Power Hour ·

2025/09/16

If you didn’t have a visceral reaction to the title for this episode, then you are almost certainly not in our target audience. There are few more certain ways to get a room full of analytics folk fired up than to raise the topic of dashboards. Are they where data goes to die, or are they the essential key to unlocking self-service access to actionable insights? Are they both? Is the question irrelevant, because, if they exist to inform business users, aren’t they soon going to be replaced by an

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01:01:28

#279: The Process(es) of Analytics (We Have Thoughts)

The Analytics Power Hour ·

2025/09/02

What is "process" in analytics? On the one hand, it can be seen as a detailed sequence of minutia by which anything that needs to be repeated in the world of analytics gets carried out in a structured and consistent manner. On the other hand, that’s the sort of definition that strikes terror and rage in the hearts of many souls. Some of those souls are co-hosts of this podcast. Even the more process-oriented co-hosts bristle at such a definition (but for different reasons). So, what ARE some of the

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01:00:47

#278: Is AI Good at Data Analysis? That's the Wrong...

The Analytics Power Hour ·

2025/08/19

Imagine a world where business users simply fire up their analytics AI tool, ask for some insights, and get a clear and accurate response in return. That’s the dream, isn’t it? Is it just around the corner, or is it years away? Or is that vision embarrassingly misguided at its core? The very real humans who responded to our listener survey wanted to know where and how AI would be fitting into the analyst’s toolkit, and, frankly, so do we! Maybe they (and you!) can fire up ol’ Claude and ask it to

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01:00:29

#277: ANOVA? I Hardly Know Ya'! with Chelsea...

The Analytics Power Hour ·

2025/08/05

Did you know that, upon closer inspection, many a statistical test will reveal that "it's just a linear model" (#IJALM)? That wound up being a key point that our go-to statistician, Chelsea Parlett-Pelleriti, made early and often on this episode, which is the next installment in our informally recurring series of shows digging into specific statistical methods. The method for this episode? ANOVA! As a jumping off point to think about how data works—developing intuition about mean and variance (and

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01:04:41

#276: BI is Dead! Long Live BI! With Colin Zima

The Analytics Power Hour ·

2025/07/22

Product managers for BI platforms have it easy. They "just" need to have the dev team build a tool that gives all types of users access to all of the data they should be allowed to see in a way that is quick, simple, and clear while preventing them from pulling data that can be misinterpreted. Of course, there are a lot of different types of users—from the C-level executive who wants ready access to high-level metrics all the way to the analyst or data scientist who wants to drop into a SQL flow

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01:13:01

#275: The Modern Data...Job Search with Albert Bellamy

The Analytics Power Hour ·

2025/07/08

It’s a process few people genuinely enjoy, but it’s one which we all find ourselves going through periodically in our careers: landing a new job. We grabbed MajorData himself, Albert Bellamy, for a wide-ranging discussion about the ins and outs of that process: LinkedIn invitation etiquette (and, more importantly, effectiveness), how networking is like spousal communication (!), the usefulness of reducing the mental load required of recruiters and hiring managers, and much, much more! You might just

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58:05

#274: Real Talk About Synthetic Data with Winston Li

The Analytics Power Hour ·

2025/06/24

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,

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01:09:39

#273: Data Products Are... Assets? Platforms?...

The Analytics Power Hour ·

2025/06/10

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

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01:03:55

#272: When the Metric is Calculated and Complex with...

The Analytics Power Hour ·

2025/05/27

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

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01:00:03

#271: It Might Be Irrational, but Let's Talk...

The Analytics Power Hour ·

2025/05/13

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! For

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01:01:10

#270: AI and the Analyst. We've Got It All Figured Out.

The Analytics Power Hour ·

2025/04/29

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

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01:08:19

#269: The Ins and Outs of Outliers with Brett Kennedy

The Analytics Power Hour ·

2025/04/15

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

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01:07:14

#268: You Get an Insight! And YOU Get an Insight!...

The Analytics Power Hour ·

2025/04/01

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

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01:01:11

#267: Regression? It Can be Extraordinary! (OLS FTW....

The Analytics Power Hour ·

2025/03/18

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

en

58:59

#266: AI Projects: From Obstacles to Opportunities

The Analytics Power Hour ·

2025/03/04

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

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55:03

#265: Connected Wellness in the Age of AI with...

The Analytics Power Hour ·

2025/02/18

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

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01:08:15

#264: When the Analyst’s Toolbox Includes Assessing...

The Analytics Power Hour ·

2025/02/04

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

en

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