#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...
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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 307 episodes in English, follow new audio stories, and play episodes online on Radio and Podcast.
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Episodes
20 of 307 episodes#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...
#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-...
#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....
#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 a...
#280: Dashboards Must Die! Long Live Dashboards! with Andy Cotgreave
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 fe...
#279: The Process(es) of Analytics (We Have Thoughts)
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 repeate...
#278: Is AI Good at Data Analysis? That's the Wrong Question? with Juliana Jackson
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...
#277: ANOVA? I Hardly Know Ya'! with Chelsea Parlett-Pelleriti
Did you know that, upon closer inspection, many a statistical test will reveal that "it's just a linear model" ( #IJALM )? That wound up bei...