Skip to content
Sign in
Artwork for The Analytics Power Hour
BusinessMarketingManagementExplicit

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.

Ready any business magazine and you will find an article saying something along the lines of "Business Analytics is the hottest job category out there, and there is a significant lack of people, process and best practice."

In this case the conference was eMetrics, the bar was….multiple, and the attendees were Michael Helbling, Tim Wilson and Jim Cain (Co-Host Emeritus). After a few pints and a few hours of discussion about the cutting edge of digital analytics, they realized they might have something to contribute back to the community.

This podcast is one of those contributions. Each episode is a closed topic and an open forum with some combination of Michael, Moe, Tim, Val, and Julie - the goal is for listeners to enjoy listening to them share their thoughts and experiences and, hopefully, take away something to try at work the next day.

Play
Open in
  • 22 episodes
  • fortnightly
  • Avg 1 hr 3 min
  • English

Episodes 22

NewestOldestLongest
All2Unplayed2In progress0Played0
Counted on this page — what you have heard stays on this device, so it is not something the list can be paged by.
  • Dec 9, 2025 · 55 min

    #286: Metrics Layers. Data Dictionaries. Maybe It's All Semantic (Layers)? With Cindi Howson

    Semantic layers are having something of a moment, but they're not actually new as a concept. Ever since the first database table was designed with cryptic field names that no business user could possibly understand, there's been a need for some form of mapping and translation. Should every company be considering employing a semantic layer? Is the idea of a single, comprehensive semantic layer within an organization a monolithic concept that is doomed to fail? These questions and more get bandied about on this episode, where we were joined by industry legend Cindi Howson, Chief Data & AI Strategy Officer at Thoughtspot. For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page. This episode's Measurement Bite from show sponsor Recast is an explanation of multicollinearity from Michael Kaminsky!

    • Transcript
  • Nov 25, 2025 · 1 hr 6 min

    #285: Our Prior Is That Many Analysts Are Confounded by Bayesian Statistics

    Before you listen to this episode, can you quantify how useful you expect it to be? That's a prior! And "priors" is a word that gets used a lot in this discussion with Michael Kaminsky as we try to demystify the world of Bayesian statistics. Luckily, you can just listen to the episode once and then update your expectation—no need to simulate listening to the show a few thousand times or crunch any numbers whatsoever. The most important takeaway is that you'll know you've achieved Bayesian clarity when you come to realize that human beings are naturally Bayesian, and the underlying principles behind Bayesian statistics are inherently intuitive. This episode's Measurement Bite from show sponsor Recast is a brief explanation of statistical significance (and why shorthanding it is problematic…and why confidence intervals are generally more practically useful in business than p-values) from Michael Kaminsky! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.

    • Transcript
Showing 21–22 of 22 episodes