Navigating Pitfalls as a New Analyst

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The chapter explores common pitfalls to avoid as a new analyst, such as prematurely diving into data, believing data is always objective, and fixating on tools rather than understanding the problem. It emphasizes the importance of focusing on problem understanding, data quality, and hypothesis-driven analysis to achieve accurate insights. The hosts engage in playful rhyming games and humorous discussions while sharing insights from favorite podcast episodes and enjoying the process of hosting the show.

How good are humans at distinguishing between human-generated thoughts and AI-generated…thoughts? Could doing an extremely unscientific exploration of the question also generate some useful discussion? We decided to dig in and find out with a show recorded in front of a live audience at Marketing Analytics Summit in Phoenix! With Michael in the role of Peter Sagal, Julie, Tim, and Val went head-to-GPU by answering a range of analytics-oriented questions. Two co-hosts delivered their own answers, and one co-host delivered ChatGPT's, and the audience had to figure out which was which. Plus, a bit of audience Q&A, which included Michael channeling his inner Charlie Day! This episode also features the walk-on music that was written and performed live by Josh Silverbauer (no relation to Josh Crowhurst, the producer of this very podcast who also wrote and recorded the show's standard intro music; what is it about guys named Josh?!). For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.