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 structured and consistent manner. On the other hand, that’s the sort of definition that strikes terror and rage in the hearts of many souls. Some of those souls are co-hosts of this podcast. Even the more process-oriented co-hosts bristle at such a definition (but for different reasons). So, what ARE some of the core processes in analytics? And, what is the appropriate balance between establishing a prescriptive structure and leaving sufficient flexibility to allow human judgment to adapt a process to fit specific situations? Those are the sorts of questions tackled on this episode, which was released on time with all of its underlying component parts thanks to a reasonably robust…process.

For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.

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 corner, or is it years away? Or is that vision embarrassingly misguided at its core? The very real humans who responded to our listener survey wanted to know where and how AI would be fitting into the analyst’s toolkit, and, frankly, so do we! Maybe they (and you!) can fire up ol’ Claude and ask it to analyze this episode with Juliana Jackson from the Standard Deviation podcast and Beyond the Mean Substack to find out!

For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.

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-Pelleriti, made early and often on this episode, which is the next installment in our informally recurring series of shows digging into specific statistical methods. The method for this episode? ANOVA! As a jumping off point to think about how data works—developing intuition about mean and variance (and covariates) while dipping our toes into F-statistics, family-wise error rates (FWER), and even a little Tukey HSD—ANOVA’s not too shabby!

For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.