Financial services · Databricks
Oakbrook: Personalizing the consumer lending experience
Public case study · not a Metric Oak engagement
- Projected cost savings over the first 3 years
- 14%
- New financial products developed in 12 months
- 2
- Revenue increase forecast over the next 12 months from new top-up loans
- 5%
What happened
The story in brief
A UK consumer lender wanted faster, data-driven credit decisions in a tightly regulated market. Building its data science on Databricks let it launch new lending products within a year and forecast meaningful revenue growth from new loan types.
How it compares
- 14% projected cost savings over the first 3 years, against a median reported cost reduction of 60% across 19 financial services results.
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Frequently asked questions
What results did Oakbrook report?
Oakbrook reported 14% projected cost savings over the first 3 years; 2 new financial products developed in 12 months; 5% revenue increase forecast over the next 12 months from new top-up loans, according to its customer story published by Databricks.
Which platform and technologies did Oakbrook use?
Oakbrook used Databricks on Google Cloud, including Fivetran, Looker.
How do these results compare with other financial services programs?
14% projected cost savings over the first 3 years, against a median reported cost reduction of 60% across 19 financial services results.
Source
Customer story published by Databricks: Personalizing the consumer lending experience (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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