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In celebration of International Women's Day, this episode of Analytics Power Hour features an all-female crew discussing the challenges and opportunities in AI projects. Moe Kiss, Julie Hoyer and Val Kroll, dive into this AI topic with guest expert, Kathleen Walch, who co-developed the CPMAI methodology and the seven patterns of AI (super helpful for your AI use cases!). Kathleen has helpful frameworks and colorful examples to illustrate the importance of setting expectations upfront with all stakeholders and clearly defining what problem you are trying to solve. Her stories are born from the painful experiences of AI projects being run like application development projects instead of the data projects that they are! Tune in to hear her advice for getting your organization to adopt a data-centric methodology for running your AI projects—you'll be happier than a camera spotting wolves in the snow! 🐺❄️🎥 For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.

We're baaaaaaack…! Shorter show name, a rebrand, some minor formatting and structural updates, but still "Moe Kiss with a couple of guys who listeners can't keep straight." On this episode, we talk for a little bit about what we've been doing while we were on hiatus and then dive into a topic that only Cassie Kozyrkov has dared to deeply explore before: the distinction between analysts, statisticians, data engineers, ML engineers...and data charlatans. Well, really just the first two. But, Cassie('s content) has made numerous appearances on the show, so it seemed like high time that we dug into some of her ideas. For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.

Have you ever seen a one-man show in the theater? It's awesome. Unless it's terrible. The same can be said for one-person digital analytics teams. It can be awesome, in that you get to, literally, do EVERY aspect of analytics. It can be terrible because, well, you've got to do EVERYTHING, and it's easy for the fun stuff to get squeezed out of the day. On this episode, we head back Down Under for a chat with Moe Kiss, product (and digital) analyst at THE ICONIC. Whether you pronounce "data" as DAY-tuh or DAH-tuh, Moe's perspective will almost certainly motivate you find new ways to push yourself and your organization forward. For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page. This episode originally aired on December 6, 2016.

Analytics is hard (so they say... but we're not going to open THAT can of worms). Do you know what's harder? Managing analysts! I mean, they're always asking, "Why?" Sometimes, they even ask it five times! They can wind up, you know, analyzing whatever you're asking them to do! On this episode, special guest Moe Kiss (you may know her as a co-host of this podcast) joined Michael and Tim to dig into the ins and outs of the analyst/manager relationship. For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.

The conceit of this podcast is having real analysts hang out with each other -- enjoying each other's company and talking a little shop. But, for you, dear listener, that hanging out is occurring through your earbuds. What does it take to hang out IRL with other analysts? Guest host Moe Kiss from THE ICONIC joins the guys this week to chat about Web Analytics Wednesdays, MeasureBowling, MeasureCamp, and what it takes to get those local, in-person relationships rolling successfully. For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.

Have you ever seen a one-man show in the theater? It's awesome. Unless it's terrible. The same can be said for one-person digital analytics teams. It can be awesome, in that you get to, literally, do EVERY aspect of analytics. It can be terrible because, well, you've got to do EVERYTHING, and it's easy for the fun stuff to get squeezed out of the day. On this episode, we head back Down Under for a chat with Moe Kiss, product (and digital) analyst at THE ICONIC. Whether you pronounce "data" as DAY-tuh or DAH-tuh, Moe's perspective will almost certainly motivate you find new ways to push yourself and your organization forward. People, places, things, sites, and doodads mentioned in this episode were many, and they include: R, Tableau, Snowplow, adjust, Datalicious, Moe's post on Analysis of Competing Hypotheses, Moe's post on getting started in digital analytics, Jeffalytics.com, RSiteCatalyst, The Millenial Whoop, Kabaddi, Michael Yates, ABC (the Australian Broadcasting Corporation), an Event Tracking Naming Strategy from Chris Le, Simo Ahava, Nico Miceli, and Towards Universal Event Analytics - Building an Event Grammar by Snowplow co-founder Alex Dean.