Case Study: Magneti Marelli achieves 90% lower new manufacturing line cost and 12x ROI with Databricks

Magneti Marelli - Customer Case Study

Magneti Marelli, a global automotive systems and components manufacturer focused on safe, sustainable mobility, faced challenges scaling data science across manufacturing: a small, bootstrapped team struggled to collaborate, spent excessive time on complex DevOps and system integrations (e.g., PowerBI), and had to manage and model more than 10 years of costly, complex data to improve production and reduce defects.

Databricks delivered a unified analytics platform with automated cluster management, an interactive notebook workspace, and expert Spark support, enabling faster onboarding and better collaboration. The solution unlocked new ML-driven manufacturing insights, accelerated time-to-value, cut the cost of a new production line by 90%, and delivered a 12x ROI in two years with potential operational savings in the millions.

Magneti Marelli

Andrea Condorelli

Head of Data Science