Financial services · Databricks
HSBC: Reinventing mobile banking with ML
Public case study · not a Metric Oak engagement
- Seconds to perform complex analytics compared to 6 hours
- 6
- Delta Lake has replaced 14 databases
- 1
- Improvement in engagement on the app
- 4.5x
What happened
The story in brief
A global bank's mobile payments app with tens of millions of users hit scalability limits that slowed data-driven decisions. Moving analytics and machine learning to Databricks turned complex analyses that took hours into ones that run in seconds.
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Related insights
Frequently asked questions
What results did HSBC report?
HSBC reported 6 seconds to perform complex analytics compared to 6 hours; 1 Delta Lake has replaced 14 databases; 4.5x improvement in engagement on the app, according to its customer story published by Databricks.
Which platform and technologies did HSBC use?
HSBC used Databricks on Azure, including Delta Lake.
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: Reinventing mobile banking with ML (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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