Analytics Power Hour
@AnalyticsHour
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The podcast where @tgwilson, @mymo, @moemkiss, @valkroll, & @JulieMHoyer discuss the analytics issues of the day, with producing by @joshcrowhurst
Joined December 2014
Have you rolled out semantic layers across all of your platforms yet? WELL, WHY NOT!!! They're the hottest thing (AI excepted)! @BIScorecard from @thoughtspot joined us to break 'em down!
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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...
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Do you think of Bayesian methods as being a relatively new phenomenon? If so, this episode with @Mike_Kaminsky will definitely get you to update your priors!
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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...
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One sign of a good analyst, arguably, is that they're willing to update their priors when new information (or their personal develop) suggests that it's prudent. We recorded a whole episode about that!
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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...
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As the business world has developed a zombie-like obsession with the neverending pursuit of big data, we decided it would be useful to take a shallow dive into small data with @joedom from @countryfriedc!
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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...
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Have you ever created your own dataset? Have you ever done it by listening to 1,100+ songs? @cdallarivamusic has, and our chat with him about the what, why, and how was a lot of fun. Plus, it had lots of useful parallels to the analyst's day-to-day work!
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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...
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“Stop giving me tables. Give me the 'so what'.” On our latest episode, Flybuys CEO Anna Lee shares a CEO-level view of what makes analytics teams succeed, from productive curiosity to informed pragmatism.
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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...
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What is a dashboard? According to @acotgreave and his co-authors, “A dashboard is a visual display of data used to monitor conditions and/or facilitate understanding." Whether or not you're already triggered, the episode is worth a listen!
analyticshour.io
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 few more certain ways to get a room full of analytics folk...
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Can a discussion of the processes behind analytics be lively and engaging? The idea for making an episode based on that topic made it through our content planning process. You be the judge. Give it a listen!
analyticshour.io
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 repeated in the world of analytics gets carried out in a structu...
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We asked ChatGPT to tell us why it biffed so badly when we uploaded all of our online store's data to it and asked for insights. It told us we needed a session with Juliana Jackson. So that's what we did.
analyticshour.io
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 return. That’s the dream, isn’t it? Is it just around the...
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There's definitely variation across our episodes. We haven't deeply analyzed it, though. If we did, would we use ANOVA? Maybe. @ChelseaParlett joined us for a bit of stats talk on our latest episode.
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Did you know that, upon closer inspection, many a statistical test will reveal that "it’s just a linear model" (#IJALM)? That wound up being a key point that our go-to statistician, Chelsea Parlett...
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Is your company thrilled with its BI platform(s)? If you say, "Yes," you're lying like Billy Crystal in The Princess Bride. BI tools are much-maligned. Is it their fault, or are they tasked with the impossible? @drinkzima from @omni joined us to discuss.
analyticshour.io
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 all of the data they should be allowed to see in a way that...
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A bad time to plant an apple tree is when you're hungry. A bad time to start networking is when you need a job. Our latest episode with Albert Bellamy has some great perspectives and tips!
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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 job. We grabbed MajorData himself, Albert Bellamy, for a...
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Our latest episode was a deep dive into synthetic data with special guest Winston Li. We talked all about this sci-fi sounding data, how it's made, where it shines, and where it falls short!
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Synthetic data: it's a fascinating topic that sounds like science fiction but is rapidly becoming a practical tool in the data landscape. From machine learning applications to safeguarding privacy,...
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You get a data product! And YOU get a data product! Wait. What actually makes a data product a data product? It's trickier than we thought (and it seems useful to actually nail that down)!
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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 actually IS a data product? And does it even matter that we...
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Our kingdom for a metric that is simple, clear, and as easy to interpret as it is to query!
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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? What is a customer? Go one level deeper with a metric like...
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We're making the experience of listening to our latest episode, with behavioral scientist @lindsaypjuarez, as frictionless as possible!
analyticshour.io
Data that tracks what users and customers do is behavioral data. But behavioral science is much more about why humans do things and what sorts of techniques can be employed to nudge them to do...
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We thought about having Claude as a guest for this episode, but we ultimately decided to keep it strictly human. The conversation was more organic that way.
analyticshour.io
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 generate a script for the entire show, and we just each read our...
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Is our latest show pretty much like our past shows, or is it... an outlier? Give it a listen and you can decide!
analyticshour.io
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 that can be awfully tricky to perfectly define and detect....
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We visited the home pages of 10 random BI and analytics platforms and 100% of them included the word "insights" at least once on them. Is that an insight? No. Our latest episode explores why it's not.
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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 fact, on this episode, we discovered that Moe has developed...
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Linear regression is so often explained using visuals -- a chart with an x and a y axis -- that we thought it would be fun to try an exploration in audio format. Luckily @ChelseaParlett was able to join us so that we could pull it off!
analyticshour.io
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 for a linear regression! On the one hand, it couldn't be...
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