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Alter Everything

158: Speeding to the Finish Line using Alteryx

May 8, 2024
Ken Black, Performance Motor Sports Data Scientist at GM, discusses the crucial role of data analysis in NASCAR racing, focusing on the challenges and advancements in using Alteryx for performance motor sports data analysis. Topics include improving driver performance, geospatial analysis using Alteryx, and the passion and dedication of individuals in the fast-paced NASCAR world.
24:15

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

  • Data analysis in motorsports is crucial for interpreting race outcomes and enhancing driver performances.
  • Alteryx tools aid in real-time data analytics to optimize driver performance and strategic decision-making in NASCAR.

Deep dives

The Importance of Data in Motorsports Analytics

The podcast episode highlights how data plays a crucial role in motorsports analytics, emphasizing that all aspects of racing, from race outcomes to driver performances, are heavily reliant on data analysis. With the massive volume of data generated during races, including telemetry from cars producing up to three million data points per race, handling and interpreting this data accurately at sub-second levels poses significant challenges. The asynchronous and locationally varied nature of racing data adds complexity, requiring the development of frameworks for meaningful comparisons and analytics.

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