Case Study: Tata Steel achieves smarter manufacturing and sustainability gains with Databricks

How Tata Steel is Shifting Global Manufacturing and Production Toward Sustainability

Tata Steel, a fully integrated global steel producer, was struggling with the cost and management burden of a legacy data system that limited data access, caused outages, and made it hard to scale analytics across manufacturing and commercial teams. The company needed a more user-friendly, fully managed platform to support supply chain planning, demand forecasting, sustainability initiatives, and other data-driven use cases, and chose the Databricks Data Intelligence Platform on Azure.

Databricks implemented a centralized lakehouse with MLflow, Delta Tables, and other Databricks components, replacing infrastructure-heavy workflows with a simpler, scalable environment. The results included 20 to 30 production use cases, more than 50 machine learning use cases overall, demand forecasting that is 30% more accurate, and payload optimization that delivered 4–8% cost savings, while also improving collaboration, reducing downtime, and supporting Tata Steel’s sustainability goals.

Tata Steel