Financial services · Databricks
TMBThanachart Bank: Investing in smarter personalization with advanced analytics
Public case study · not a Metric Oak engagement
- Increase in highly targeted offer
- 10x
- Faster digital sales growth
- 2x
- Customers reached with personalized products and services
- 5.5M
What happened
The story in brief
One of Thailand's five largest banks found its legacy data infrastructure too slow and rigid to personalize at scale. It moved to Databricks to cut data latency and scale analytics, reaching far more customers with personalized products.
How it compares
- 2x faster digital sales growth, against a median speed-up of 5x across 8 financial services results.
Planning 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 TMBThanachart Bank report?
TMBThanachart Bank reported 10x increase in highly targeted offer; 2x faster digital sales growth; 5.5M customers reached with personalized products and services, according to its customer story published by Databricks.
Which platform and technologies did TMBThanachart Bank use?
TMBThanachart Bank used Databricks on Azure and Google Cloud, including Unity Catalog, Lakeflow.
How do these results compare with other financial services programs?
2x faster digital sales growth, against a median speed-up of 5x across 8 financial services results.
Source
Customer story published by Databricks: Investing in smarter personalization with advanced analytics (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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