by Michael Helbling, Moe Kiss, Tim Wilson, Val Kroll, and Julie Hoyer
Attend any conference for any topic and you will hear people saying after that the best and most informative discussions happened in the bar after the show. Read any business magazine and you will find an article saying something along the lines of "Business Analytics is the hottest job category out there, and there is a significant lack of people, process and best practice." In this case the conference was eMetrics, the bar was….multiple, and the attendees were Michael Helbling, Tim Wilson and Jim Cain (Co-Host Emeritus). After a few pints and a few hours of discussion about the cutting edge of digital analytics, they realized they might have something to contribute back to the community. This podcast is one of those contributions. Each episode is a closed topic and an open forum - the goal is for listeners to enjoy listening to Michael, Tim, and Moe share their thoughts and experiences and hopefully take away something to try at work the next day. We hope you enjoy listening to the Digital Analytics Power Hour.
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Publishing Since
1/3/2015
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April 15, 2025
Data scientist Brett Kennedy discusses the challenges of detecting outliers in data and the various techniques available to industry experts
April 1, 2025
Chris Kocek, CEO of Gallant Branding, discusses the overuse of the term 'insights' with host Moe Abdou, offering industry experts a fresh perspective on the topic in this interview
March 18, 2025
<p><span style="font-weight: 400;">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 simpler. On the other hand, it's a broad and deep topic. You've got your parameters, your feature engineering, your regularization, the risks of flawed assumptions and multicollinearity and overfitting, the distinction between inference and prediction... and that's just a warm-up! What variables would you expect to be significant in a model aimed at predicting how engaging an episode will be? Presumably, guest quality would top your list! It topped ours, which is why we asked past guest</span> <a href= "https://www.linkedin.com/in/chelseaparlettpelleriti/" target= "_blank" rel="noopener"><span style="font-weight: 400;">Chelsea Parlett-Pelleriti</span></a> <span style= "font-weight: 400;">from</span> <a href="https://getrecast.com" target="_blank" rel="noopener"><span style= "font-weight: 400;">Recast</span></a> <span style= "font-weight: 400;">to return for an exploration of the topic! Our model crushed it.</span> For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the <a href= "https://analyticshour.io/2025/03/18/regression-it-can-be-extraordinary-ols-ftw-iykyk-with-chelsea-parlett-pelleriti/"> show page</a>.</p>
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