
#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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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 yo...
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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...

Product managers for BI platforms have it easy. They "just" need to have the dev team build a tool that gives all types of users access to a...

It's a process few people genuinely enjoy, but it's one which we all find ourselves going through periodically in our careers: landing a new...

Synthetic data: it's a fascinating topic that sounds like science fiction but is rapidly becoming a practical tool in the data landscape. Fr...

Is it just us, or are data products becoming all the rage? Is Google Trends a data product that could help us answer that question ? What ac...

No matter how simple a metric's name makes it sound, the details are often downright devilish. What is a website visit? What is revenue? Wha...

Data that tracks what users and customers do is behavioral data. But behavioral science is much more about why humans do things and what sor...

We finally did it: devoted an entire episode to AI. And, of course, by devoting an episode entirely to AI, we mean we just had GPT-4o genera...

How is an outlier in the data like obscenity? A case could be made that they're both the sort of thing where we know it when we see it, but...

Do you cringe at the mere mention of the word, "insights"? What about its fancier cousin, "actionable insights"? We do, too. As a matter of...

Why? Or… y? What is y? Why, it's mx + b! It's the formula for a line, which is just a hop, a skip, and an error term away from the formula f...

In celebration of International Women's Day, this episode of Analytics Power Hour features an all-female crew discussing the challenges and...

Every listener of this show is keenly aware that they are enabling the collection of various forms of hyper-specific data. Smartphones are m...

We all know that data doesn't speak for itself, but what happens when multiple instruments of measurement contain flaws or gaps that impede...

Every so often, one of the co-hosts of this podcast co-authors a book. And by "every so often" we mean "it's happened once so far." Tim, alo...

The start of a new year is a great time for reflection as well as planning for the year ahead. Join us for this special bonus episode where...

Every year kicks off with an air of expectation. How much of our Professional Life in 2025 is going to look a lot like 2024? How much will l...

Ten years ago, on a cold dark night, a podcast was started, 'neath the pale moonlight. There were few there to see (or listen), but they all...

Data storytelling is a perpetually hot topic in analytics and data science. It's easy to say, and it feels pretty easy to understand, but it...

There's data, data everywhere, including in the media! Data often gets collected, analyzed, published in a study, covered by a journalist, a...

KPIs? Really? It's 2024. Can't we just ask Claude to generate those for us? We say… no. There are lots and lots of things that AI can take o...

udging by the number of inbound pitches we get from PR firms, AI is absolutely going to replace most of the work of the analyst some time in...

For the first time since they've been a party of five, all of the Analytics Power Hour co-hosts assembled in the same location. That locatio...

To data analyst, or to data science? To individually contribute, or to manage the individual contributions of others? To mid-career pivot in...

It's human nature to want to compare yourself or your organization against your competition, but how valuable are benchmarks to your busines...

While we don't often call it out explicitly, the driving force behind much of what and how much data we collect is driven by a "just in case...

Broadly writ, we're all in the business of data work in some form, right? It's almost like we're all swimming around in a big data lake, and...

We're seeing the title "Analytics Engineer" continue to rise, and it's in large part due to individuals realizing that there's a name for th...

A claim: in the world of business analytics, the default/primary source of data is real world data collected through some form of observatio...

How good are humans at distinguishing between human-generated thoughts and AI-generated…thoughts? Could doing an extremely unscientific expl...

Application Programming Interfaces (APIs) are as pervasive as they are critical to the functioning of the modern world. That personalized an...
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