Listeners' questions, our answers, live audience reactions. We covered AI skepticism, data trust issues, and why efficiency metrics make us twitch.
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Trust is hard to build and easy to break. Outcomes vs outputs. The magic of randomization. Just a few gems (NOT the Gemini kind) from our co-hosts-only episode about analytics wisdom that never goes out of style. https://t.co/SchGgD3wgp
"Far better an approximate answer to the right question than an exact answer to the wrong question." So sayeth John Tukey! @arikf breaks down why analysts often need to value accuracy over precision, trust their intuition, and more! https://t.co/eeWGuW7Osc
What do research teams and analytics teams have in common? More than they think… and less collaboration than they should. Stefanie Zammit from @BangOlufsen joined us to dig into why! https://t.co/wWzsoY5Lpt
Love it or hate it, AI is a must-adopt technology. As an organization, what are some effective ways to motivate analysts and other data workers to drive that adoption? John Lovett from @seerinteractive joined us to discuss! https://t.co/S9cFOQUo1z
In theory, every data tool in our totally mod data stack is the "best" tool. Is the best way to figure out which one that is would be to do an exhaustive feature comparison, right? Meh. Not really. Jason Packer joined us to chat about better approaches. https://t.co/vJ5obAJyzJ
As Kevin McCallister warned us: just because the house is standing doesn’t mean it’s under control. 🏠🤖 Our International Women’s Day episode features Aubrey Blanche on AI hype, agency, and phantom value.
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What's the data work that happens in the metaphorical dark alleys of an organization? And, should some of that work be brought out into the light of day? That's what we tackled on our latest episode! https://t.co/gI54DRA8wJ
If an experiment or an analysis turns up "nothing," was it still an experiment or analysis worth doing? If it's considered through a robust lens of "learning," then it might be! Mårten Schultzberg from Spotify joined us to discuss! https://t.co/RNMAl1sLJS
An analysis without business context is like an Oreo without filling. An analyst without business acumen is like a hamburger with no bun. And that's the topic of our latest episode. https://t.co/y2jEu9FkcJ
MCP is where it's AT. Right? For now, at least, it's a standard (sort of) that helps connect deterministic and non-deterministic systems. Maybe? @sredfern joined us to chat try to bring some clarity to the subject! https://t.co/xmUnuuokiA
Don't look now, folks, but the first quarter of the 21st century is almost in the books! And when a new year looms, we look back (and a little bit ahead)! At least for the last 12 months. https://t.co/LXKzkqmstk
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! https://t.co/L7gXApCn8k
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! https://t.co/40svgxsGpk
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! https://t.co/A02iFEclxu
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! https://t.co/Uor4PbQWE0
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! https://t.co/ULCOeGRTSq
“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. https://t.co/DkJ97znQEg
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! https://t.co/gvKAGLLJiV
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! https://t.co/mL8YP2xmRd