#307: AI Does (and Does Not) Work for Data Storytelling

There's a version of this episode where AI replaces the data visualization expert entirely, and there's a version where it's useless without one. Neither is quite right, according to Cole Nussbaumer K...

analyticshour.io

#306: Decision Support Has Been the Point All Along

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.

analyticshour.io

#305: Personal Interest + Analytics Chops = Career?

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, and his theory about Sandra Bulloc...

analyticshour.io

#304: I Can Haz AI?

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 Anal...

analyticshour.io

#303: Funnels Assume Progress. Barriers Recognize Reality.

Twenty years of digital marketing created something of a monster — not a bad one, but a Working As Designed one. Rusty Rahmer joined Michael, Julie, and Val to talk about why the marketing machine run...

analyticshour.io

#302: It Was a Dark and Stormy Insight…

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 reado...

analyticshour.io

#301: It Turns Out Analysts Are Natural AI Crafters

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 building things for exactly those people

analyticshour.io

#300: Are Semantic Layers Really Necessary?

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...

analyticshour.io

#299: AI Can (Help) Build the Dashboard. It Can't Build the Buy-In.

There are roughly a thousand ways to roll out a new analytics platform, a BI tool migration, or an AI initiative to your organization. Most of them don’t really work. Yehonatan Schwarzmer joins us on ...

analyticshour.io

#298: Listener Questions Answered Live from Marketing Analytics Summit!

Picture this: four analytics professionals, one live audience, a bunch of submitted questions, and absolutely no filter when it comes to sharing their real thoughts about AI, stakeholder management, a...

analyticshour.io

#297: Durable Wisdom in an Age of AI Slop

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...

analyticshour.io

#296: Avoiding Major Oopsies: Twyman's Law, Intuition, and Valuing Accuracy Over Precision

What do diamond ring shopping, Uber pricing psychology, and active user metrics gone wrong have in common? They all highlight our complicated relationship with precision versus accuracy—and how that r...

analyticshour.io

#295: Research and Analytics: the Peanut Butter and Chocolate of Data?

Research and analytics: are they more like peanut butter and chocolate, or more like oil and water? On this episode, we dig into the surprisingly common (and surprisingly unfortunate) divide between t...

analyticshour.io

#294: Adapting an Analytics Team to an AI World

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 effe...

analyticshour.io

#293: Tool Selection and the Unhelpfulness of Feature Comparisons

The one rule about the Analytics Power Hour is that we don’t talk about specific tools. But that doesn’t mean we won’t talk about tool SELECTION! Jason Packer recently released the second edition of G...

analyticshour.io

#292: AI Without Adult Supervision with Aubrey Blanche

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 t...

analyticshour.io

#291: The Data Work that Lives in the Shadows

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. ...

analyticshour.io

#290: Always Be Learning

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analyticshour.io

#289: The Imperative of Developing Business Acumen

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 ...

analyticshour.io

#288: Our LLM Suggested We Chat about MCP. Kinda' Meta, No?

If there’s one thing that we absolutely knew would be coming along with the increased interest and use of AI, it would be… more acronyms! And, along with the acronyms, we pretty much could predict tha...

analyticshour.io

#287: 2025 Year in Review

It’s the most…won…derful…tiiiiime…of the year! And by that, we mean it’s the time of the year when we sit back, look at each other, and ask, "Where did all the time go?!" We brought back a very specia...

analyticshour.io

#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 possi...

analyticshour.io

Permutation Test: Visual Explanation

Permutation Test: Visual Explanation

jwilber.me

#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 de...

analyticshour.io

#284: I Used to Think…But Not Any More

As the world turns, a couple of things happen: 1) we grow and learn, and 2) the world changes. On this episode, inspired by a job interview question, the hosts walked through a range of thoughts and b...

analyticshour.io

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

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 h...

analyticshour.io

Napoleon’s Army Defeat Linked to Unexpected Pathogens, DNA Study Shows

Disease-causing bacteria that have been recently discovered in the teeth of Napoleonic soldiers may have spurred the massive infantry’s demise during its retreat from Russia

scientificamerican.com

#282: Using (and Creating!) Data to Understand Pop Culture with Chris Dalla Riva

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 ex...

analyticshour.io

#281: Analytics: The View from the Corner Office with Anna Lee

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 ...

analyticshour.io

Numlock Sunday: What song does everybody know?

Introducing your future national anthem.

open.substack.com