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Event

The Analytics Power Hour

2015-01-03 – 2025-11-25 Podcasts Visit website ↗

Activities tracked

3

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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#253: Adopting a Just In Time, Just Enough Data Mindset with Matt Gershoff

2024-09-03 Listen
podcast_episode
Val Kroll , Julie Hoyer , Michael Helbling , Tim Wilson (Analytics Power Hour - Columbus (OH) , Moe Kiss , Matt Gershoff

While we don't often call it out explicitly, the driving force behind much of what and how much data we collect is driven by a "just in case" mentality: we don't know exactly HOW that next piece of data will be put to use, but we better collect it to minimize the potential for future regret about NOT collecting it. Data collection is an optionality play—we strive to capture "all the data" so that we have as many potential options as possible for how it gets crunched somewhere down the road. On this episode, we explored the many ways this deeply ingrained and longstanding mindset is problematic, and we were joined by the inimitable Matt Gershoff from Conductrics for the discussion! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.

#071: Reinforcement Learning with Matt Gershoff

2017-09-12 Listen
podcast_episode
Val Kroll , Julie Hoyer , Michael Helbling , Tim Wilson (Analytics Power Hour - Columbus (OH) , Moe Kiss , Matt Gershoff

Let's pretend your goal as an analyst is to eloquently and accurately explain reinforcement learning. Now, let's pretend that you get to try that explanation again and again, and we'll give you an electric shock every time you state something inaccurately and a cookie every time you say something right. Well, you're an analyst, so you're now wondering if this is some clever play on words about cookies. As it happened, we didn't give Matt Gershoff from Conductrics any cookies of any kind in his return to the show. Instead, we gave him a lifetime's supply of opportunities to say, "Well, no, it's not really like that," which is a special kind of nourishment for the exceptionally smart and patient! In other words, the gang walked through a range of analogies and examples about machine learning, reinforcement learning, and AI with Matt, and no electric sheep were harmed in the process.  For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.

#031: Personalization: The OTHER Faustian Bargain

2016-03-01 Listen
podcast_episode
Val Kroll , Julie Hoyer , Michael Helbling , Tim Wilson (Analytics Power Hour - Columbus (OH) , Moe Kiss , Matt Gershoff

We've got the technology. We've got the behavioral data. We've got the content (or at least tell ourselves we do). We're all set to develop personalized experiences that knock consumers socks off and leave them begging us to take their money. Is it really that simple? If it is, why aren't more companies realizing the dream of 1-to-1 marketing? Matt Gershoff joins us to discuss how the pieces of the personalization puzzle often don't quite fall into place like we wish they would. Matt's also written a post that overlaps with our discussion: http://conductrics.com/complexity.