data analytics in racing

Data analytics in racing involves collecting and examining large amounts of information from various sources—such as vehicle sensors, GPS devices, and telemetry systems—to improve performance. Engineers and teams analyze this data to understand how a car behaves under different conditions, identify areas for improvement, and make strategic decisions. For example, they can optimize tire choices, refine driving techniques, or adjust setup parameters to gain a competitive edge. Ultimately, data analytics helps teams make informed, precise decisions that can lead to faster lap times, better safety, and overall success in the race.