Case Study: HDFC Bank achieves faster data-driven decision-making with Databricks

Tailoring credit products to the diverse needs of customers

HDFC Bank, India’s largest private-sector bank, needed to modernize its legacy on-premises data environment to overcome data silos, high maintenance complexity, and difficulty scaling compute cost-effectively. The bank turned to Databricks and the Databricks Data Intelligence Platform on Azure, along with Databricks ETL, analytics, and AI/ML capabilities, to support its credit risk analytics and campaign operations.

With Databricks, HDFC Bank unified data ingestion and processing, improved analytics and operational efficiency, and accelerated time to market for new services. The bank also strengthened fraud control, marketing optimization, and model building and deployment, helping reduce time spent on infrastructure management and supporting a more efficient, future-ready banking experience.

HDFC Bank

Ashish Abraham

Head of Risk Analytics