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The Analytics Power Hour

Hosted by Michael Helbling, Tim Wilson, Moe Kiss, Val Kroll, and Julie Hoyer · business · EN

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About this Podcast:

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 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 – the goal is for listeners to enjoy listening to Julie, Val, Michael, Tim, and Moe share their thoughts and experiences and, hopefully, take away something to try at work the next day.

Pitch Analysis

Required Pod Score for this podcast. PitchCentric checks your profile against host openness, topical fit, and audience signals before you generate a pitch.

Contact path

Public web form

Booking probability

35%

Guest openness

Selective

80/100
Required Score

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Questions about The Analytics Power Hour

What is The Analytics Power Hour about?

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.

Who hosts The Analytics Power Hour?

The Analytics Power Hour is hosted by Michael Helbling, Tim Wilson, Moe Kiss, Val Kroll, and Julie Hoyer. The show has published 10 episodes to date.

What has The Analytics Power Hour covered recently?

Recent episodes include "#309: Interviewing in a Dynamically Evolving Job Market" (27 October 2026, 56 minutes), "#308: AI Changes Everything! Analytical Fundamentals Still Apply!" (13 October 2026, 61 minutes), and "#306: Decision Support Has Been the Point All Along" (15 September 2026, 46 minutes).

How often does The Analytics Power Hour publish?

The Analytics Power Hour publishes roughly every two weeks, with episodes averaging 63 minutes across 10 episodes.

How hard is it to get booked on The Analytics Power Hour?

Booking probability for The Analytics Power Hour is 35%, and the host is rated Selective on guests. The Analytics Power Hour requires a Pod Score of 80 or higher. The Analytics Power Hour's contact route on record: public web form.

Who should pitch The Analytics Power Hour?

The strongest fits for The Analytics Power Hour are IT Services & Software Development and Business & Management Consulting. The Analytics Power Hour has a business audience.

About the host

Michael Helbling, Tim Wilson, Moe Kiss, Val Kroll, and Julie Hoyer hosts The Analytics Power Hour, a business podcast with 10 episodes published.

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Recent episodes

Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.

  • Sep 15, 202646 min

    Before there was BI, there were “decision support systems.” Somewhere along the way, we seem to have quietly dropped the “decision support” part and just kept the systems. Zohar Strinka , founder of Analytics Strategies...

  • Sep 1, 20261h 4m

    Stephen Follows has spent 15 years turning film-industry curiosity into a career — asking questions like how much movies really earn, why poster colors have shifted over decades, and whether old studio domains are still...

  • The Analytics Power Hour

    #304: I Can Haz AI?

    Aug 18, 20261h 8m

    Everyone’s posting their AI projects online like proud pet owners sharing videos of their cat doing something marginally impressive — cute, occasionally clever, sometimes a little cringe. And the Analytics Power Hour is...

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  • Jul 21, 20261h 8m

    Here’s a question analysts almost never ask themselves before walking into a room: why am I actually here? Not “because it’s the weekly meeting” or “because someone asked me to pull the campaign readout.” But WHY—what...

  • Jul 7, 20261h 17m

    There’s a certain type of person who first encounters Excel and, instead of running in terror, leans in and grins. Rob Collie has spent his career—from the Excel team at Microsoft to helping birth Power BI to now...

  • Jun 23, 202658 min

    If you’ve ever poured months into building a semantic layer only to watch it become shelfware the moment the business pivoted, Jacob Matson has some thoughts. And a metaphor. Your data is a jungle—and a semantic layer...

  • Jun 23, 202658 minS0

    <p>If you’ve ever poured months into building a semantic layer only to watch it become shelfware the moment the business pivoted, Jacob Matson has some thoughts. And a metaphor. Your data is a jungle—and a semantic...

  • May 12, 20261h 6mS0

    <p>What do colors, soup kitchens, and mountain climbing have in common? They’re all part of the mental models that have shaped how we think about analytics, and they’re exactly the kind of durable wisdom that matters...

  • Mar 31, 20261h 8mS0

    <p>AI is moving fast. But so is life. AI is widely recognized as a must-adopt technology, but how and where are data workers expected to find the time for that?! Organizations are struggling to find effective ways to...

  • Mar 3, 20261h 4mS0

    <p>As Kevin McCallister once taught us: just because the house is still standing doesn’t mean everything’s under control. Everyone’s racing to adopt AI, but has anyone actually read the fine print? For this year’s...

  • Feb 17, 20261h 3mS0

    <p>We know what the work of the data practitioner is, right? It’s everything from managing data ingestion to data governance to report development to experimental design to basic and advanced analytics. It’s writing (or...

  • The Analytics Power Hour

    #290: Always Be Learning

    Feb 3, 20261h 6mS0

    <p>From a professional development perspective, you should always be learning: listening to podcasts, reading books, connecting with internal colleagues, following useful people on Medium and LinkedIn, and so on. Did we...

  • Jan 20, 20261h 10mS0

    <p>That darn data. It’s so complicated and fragmented and gap-filled and noisy that no amount of time is ever enough to truly get to the bottom of all of its complexity. As a result, it’s pretty easy to fill all of our...

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