Case Study: Renault Sport Formula One Team achieves faster race‑car performance and real‑time decision‑making with Microsoft Power BI

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

Renault Sport Formula One Team, which designs and races two cars a year across 21 events, faced the challenge of turning around parts in 24 hours and making split-second engineering decisions from streams of telemetry (more than 200 sensors per car, ~20,000 virtual channels). To modernize aging systems and support real‑time analytics, the team adopted Microsoft Dynamics 365 for Operations and analytics tools including Microsoft Power BI and Azure Machine Learning.

Using Microsoft Dynamics 365 for Operations in the cloud to centralize ERP and telemetry storage, and Microsoft Power BI to deliver real‑time interactive dashboards (with Azure Machine Learning for predictive simulation), Renault Sport Formula One Team cut a parts‑shipping report from about a week to just a few hours, broke down data silos, and gave engineers immediate, actionable insights to make faster race‑time adjustments. Microsoft Power BI’s dashboards sped data access and decision‑making, helping the team operate more efficiently and innovate more quickly.

Renault Sport Formula One Team

Mark Everest

Information System Development Manager