Case Study: Banco Hipotecario achieves 90% cross-sell lift and 35% lower acquisition costs with Databricks

Personalizing the banking experience with data and ML

Banco Hipotecario, a leading Argentinian commercial bank, needed to reduce customer risk and boost retention and loyalty by using machine learning and modern analytics. Its legacy systems were slow, hard to scale and fragmented, preventing collaboration across data engineers, analysts and data scientists and slowing model development and deployment.

The bank migrated to Azure Databricks with Delta Lake to unify data engineering, ML and analytics, enabling reliable ETL, on‑demand scaling, collaborative notebooks and MLflow-driven MLOps. This accelerated model deployment to weeks, increased cross-sell of new products by 90%, reduced customer acquisition costs by 35%, and dramatically lowered infrastructure overhead.

Banco Hipotecario

Matias J. Stanislavsky

Head of BI and Advanced Analytics