Name: Using Utility Theory and Discrete Choice Modeling to Model Revenue Retention
Start: 2026-05-15T14:45:00-0500
End: 2026-05-15T15:15:00-0500

Using Utility Theory and Discrete Choice Modeling to Model Revenue Retention

Friday May 15, 2026 2:45pm - 3:15pm CDT

(d) Nokomis

We will discuss the theory and practice of utility theory and discrete choice modeling. Essentially, how consumers make decisions between different brands and within the same brand, specifically for consumer electronics. We will also discuss how we use this at Best Buy to model consumer behavior and simulate what will happen to Best Buy's revenue if we close or open a store.

Speakers

Tyler Bybee, MS

Senior Data Scientist, Best Buy

At Best Buy, Tyler specializes in turning complex data into actionable business solutions, develops strategic data science solutions, and works closely with stakeholders to bridge the gap between technical insights and business impact.

Ye Wang, MS

Senior Data Scientist, Best Buy

Data Scientist at Best Buy since 2023, specializing in market science research and model development. Focused on building data-driven solutions to support strategic decision-making and improve business performance.

Friday May 15, 2026 2:45pm - 3:15pm CDT
(d) Nokomis Best Buy HQ, 7700 Knox Ave S, Richfield, MN 55423

4 - More Technical

Data Tech 2026

Tyler Bybee, MS

Ye Wang, MS

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Data Tech 2026

Tyler Bybee, MS

Ye Wang, MS

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