Case Study: Vitesco Technologies Streamlines Manufacturing Analytics with Dremio

Vitesco Technologies Streamlines Manufacturing Processes with Self-Service Analytics Powered by Dremio

Vitesco Technologies, a global automotive manufacturing company based in Germany, needed a better way to access rapidly growing production data across its plants. Engineering productivity was being slowed by ETL bottlenecks, reliance on outside consultants, and strict governance requirements around who could access and analyze data. To address these challenges, Vitesco Technologies turned to Dremio and its interactive data lake engine on AWS.

With Dremio, Vitesco Technologies implemented self-service, role-based analytics with a semantic layer that let engineers and analysts access the data they needed through tools like Power BI, Python, MATLAB, and Excel without copying data. Dremio helped eliminate the need for external consultants, speed time to insight, automate management of dynamic production data, and improve security and governance. The company also gained scalable centralized cloud access to manufacturing data, freeing teams to focus more on innovation.

Vitesco Technologies