
#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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What do diamond ring shopping, Uber pricing psychology, and active user metrics gone wrong have in common? They all highlight our complicate...

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...

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...

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...

As Kevin McCallister once taught us: just because the house is still standing doesn't mean everything's under control. Everyone's racing to...

We know what the work of the data practitioner is, right? It's everything from managing data ingestion to data governance to report developm...

From a professional development perspective, you should always be learning: listening to podcasts, reading books, connecting with internal c...

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...

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...

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,...

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...

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...

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...

Does size matter? When it comes to datasets, the conventional wisdom seems to be a resounding, "Yes!" But what about small datasets? Small-...

Data does not just magically spring into existence. Someone, somewhere, has to decide what data gets created and the rules for its creation....

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...

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...

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...

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...

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...
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The Analytics Power Hour is listed as a Business show. The show language is listed as English.
This page lists 307 episodes for The Analytics Power Hour. More episodes are available from the View more button when the list continues.
You can listen to The Analytics Power Hour episodes on this page by opening an episode and using the site player.
The Analytics Power Hour is listed as a Business show by Tim Wilson.
This page lists 307 episodes for The Analytics Power Hour where feed data is available.