Financial services · Databricks

IndusInd Bank: Transforming the banking experience with AI

Public case study · not a Metric Oak engagement

Faster data insights delivery: from 30 hours to 45 minutes or less: ~98%
Reports and dashboards supported: 1,200+
Months to complete enterprise-wide migration (originally scoped at 2.5 years): 15

What happened

The story in brief

A major Indian bank's legacy data warehouse could not keep up with growth, leaving reports slow and data fragmented. It completed an enterprise-wide migration to Databricks well ahead of the original plan and cut report delivery from more than a day to under an hour.

See the full financial services benchmark

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Related insights

Frequently asked questions

What results did IndusInd Bank report?

IndusInd Bank reported ~98% faster data insights delivery: from 30 hours to 45 minutes or less; 1,200+ reports and dashboards supported; 15 months to complete enterprise-wide migration (originally scoped at 2.5 years), according to its customer story published by Databricks.

Which platform and technologies did IndusInd Bank use?

IndusInd Bank used Databricks on Azure, including Unity Catalog, Delta Lake, Lakeflow, Declarative pipelines, MLflow, Delta Sharing.

How do these results compare with other financial services programs?

See our financial services benchmark for median cost reductions and speed-ups across published results in the industry.

Source

Customer story published by Databricks: Transforming the banking experience with AI (opens databricks.com in a new tab) on databricks.com. Figures as published, retrieved 27 October 2026. The summary above is Metric Oak's own. This is not a Metric Oak engagement.

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