Financial services · Databricks
Discovery Bank: Fostering financial resilience through hyper-personalization
Public case study · not a Metric Oak engagement
- Faster data processing times: from 9 hours to < 10 minutes
- 20x
- Faster data product creation and implementation times
- 5x
- Uplift in the impact of customer engagement activities
- 40%
What happened
The story in brief
A South African digital bank rewards customers for healthy financial habits, which depends on fast, accurate behavioural data. On Databricks it cut core processing from hours to minutes and built data products faster, improving the impact of its customer engagement programmes.
How it compares
- 20x faster data processing times: from 9 hours to < 10 minutes, against a median speed-up of 5x across 8 financial services results.
- 5x faster data product creation and implementation times, against a median speed-up of 5x across 8 financial services results.
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Frequently asked questions
What results did Discovery Bank report?
Discovery Bank reported 20x faster data processing times: from 9 hours to < 10 minutes; 5x faster data product creation and implementation times; 40% uplift in the impact of customer engagement activities, according to its customer story published by Databricks.
Which platform and technologies did Discovery Bank use?
Discovery Bank used Databricks, including Unity Catalog, Delta Lake, MLflow, Large language models.
How do these results compare with other financial services programs?
20x faster data processing times: from 9 hours to < 10 minutes, against a median speed-up of 5x across 8 financial services results. 5x faster data product creation and implementation times, against a median speed-up of 5x across 8 financial services results.
Source
Customer story published by Databricks: Fostering financial resilience through hyper-personalization (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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