Case Study: Michelin democratizes business insights with Databricks

Michelin uses Databricks to streamline business operations

Michelin, a global tire and mobility company, was working to become more data-driven and needed to democratize data from many sources across back-office systems and manufacturing sites. Its centralized legacy data platform made it hard for distributed IT teams and “citizen users” to access the tools they needed, so Michelin turned to Databricks and the Databricks Data Intelligence Platform to open up reliable data access.

Using Databricks’ lakehouse, notebooks, Delta Lake, and Databricks SQL, Michelin broke down data silos, enabled teams to do their own transformations and analytics, and built a “citizen data platform.” The company used Databricks to unify data, train and deploy machine learning models, and stream real-time updates, helping launch use cases like stock-out prediction and supply chain emissions reduction; Michelin says the platform has scaled to hundreds of use cases across the organization.

Michelin

Joris Nurit

Head of Data Transformation