Using big data to accelerate success
More than any other sport, Formula One has embraced a data-driven business culture, particularly as regards its near-obsession with marginal gains and continuous improvement.
Starting in the late 1980’s teams began to develop the ability to gather, process, store and utilise information streams in order to better manage risk, optimise performance and guarantee outcomes.
Data acquisition and analytics is now a cornerstone technology, enabling drivers, trackside engineers and headquarters staff to determine precisely how the car and driver is behaving, diagnose issues, resolve problems and speed decision making. As information flows seamlessly around the globe, linking car, team and factory, data security is essential, and robust systems ensure protection from multiple threats.
The use of simulators has transformed driver training, enabling systems to be learned, tested and developed in a virtual environment prior to real-world deployment. And with the advent of additive manufacturing, machine learning and AI across Formula One, the sport’s use of Big Data to transform all aspects of its operations is set to accelerate further.
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