#303: Funnels Assume Progress. Barriers Recognize Reality.
Twenty years of digital marketing created something of a monster: companies poured enormous investment into analytics teams, MarTech stacks,...
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The Digital Analytics Power Hour
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 y...
The Digital Analytics Power Hour Podcast Guide
Listen to The Digital Analytics Power Hour, a Business podcast by Tim Wilson. Stream 314 episodes in English, follow new audio stories, and play episodes online on Radio and Podcast.
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20 of 314 episodes#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 meet...
#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...
#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...
#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...
#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 sha...
#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 abo...
#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 complicate...
#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 surpris...
#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 t...
#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 SELEC...
#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...
#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 developm...
#290: Always Be Learning
From a professional development perspective, you should always be learning: listening to podcasts, reading books, connecting with internal c...
#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...
#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! An...
#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,...
#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 designe...
#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...
#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...