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Case study: Big data optimises tyres for Williams Martini


Johannesburg, 25 Jul 2016
Williams commissioned a tyre optimisation application to isolate the performance of its tyres from the raw lap time data it receives during races.
Williams commissioned a tyre optimisation application to isolate the performance of its tyres from the raw lap time data it receives during races.

Data is only as valuable as one's ability to leverage it to boost productivity, increase market share - or win a grand prix.

Williams Martini Racing, the Formula One racing organisation, is firmly in that last category.

It wants to take full advantage of the data generated during a race - including sensor data from its own cars, as well as weather information and GPS telemetry data, both to make better trackside decisions and to inform longer-term decisions, such as those around the design of its race cars.

As one of the first moves in its strategic relationship with Avanade to transform its use of technology, Williams commissioned a tyre optimisation application to isolate the performance of its tyres from the raw lap time data it receives during races.

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