Financial services · Databricks
Banco Bradesco builds real-time CDP with Spark Declarative Pipelines
Public case study · not a Metric Oak engagement
- Records processed daily
- 200M
- Reduction in processing time
- 95%
- Reduction in CRM data maintenance
- 87%
What happened
The story in brief
One of Latin America's largest banks found its legacy systems made it slow and expensive to act on digital customer behaviour. It built a real-time customer data platform on Databricks to serve personalized offers during live interactions, roughly doubling conversion on those offers.
See the full financial services benchmarkPlanning something similar?
Cloud data migration
Legacy warehouse to lakehouse, with parallel-run validation. Senior engineers, fixed scope, measured results.
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Related insights
Frequently asked questions
What results did Banco Bradesco report?
Banco Bradesco reported 200M records processed daily; 95% reduction in processing time; 87% reduction in CRM data maintenance, according to its customer story published by Databricks.
Which platform and technologies did Banco Bradesco use?
Banco Bradesco used Databricks, including Declarative pipelines, Apache Spark.
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: Banco Bradesco builds real-time CDP with Spark Declarative Pipelines (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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