Case Study: Renault Sport Formula One Team accelerates race car performance with Microsoft Dynamics 365 and Azure Machine Learning

Renault Sport Formula One Team uses data to make rapid changes for an even faster race car

Renault Sport Formula One Team, a high-performance racing organization, faced the challenge of managing an incredibly rapid design and manufacturing cycle for its race cars, with a need to turn around new parts in just 24 hours. Their aging, disparate systems and manual processes could not keep pace with the demands of the Formula 1 season. To address this, they turned to vendor Microsoft Corporation and adopted Microsoft Dynamics 365 for Operations to modernize their operations and gain crucial efficiencies.

The solution from Microsoft Corporation involved implementing Microsoft Dynamics 365 for Operations for core ERP functions, which was later integrated with Microsoft Power BI and Azure Machine Learning for advanced data analysis. This cloud-based approach allowed the team to analyze vast amounts of real-time car sensor data from anywhere in the world, drastically improving decision-making. The results were significant, with one reporting process being reduced from a week to just a few hours, enabling the team to make faster modifications and automate performance predictions for a competitive advantage on the track.

Renault Sport Formula One Team

Mark Everest

Information System Development Manager