Financial services · Databricks
Worldline: Enabling real-time insights for smarter merchant decisions
Public case study · not a Metric Oak engagement
- Reduction in monthly infrastructure costs
- €200,000
- Increase in scheme reporting
- 93%
- Lift in team productivity
- 40%
What happened
The story in brief
A major European payment processor serving millions of merchants wanted to spend less effort wrangling data and more on reporting and machine learning. Consolidating on Databricks reduced monthly infrastructure costs and simplified its BI and MLOps work.
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Related insights
Frequently asked questions
What results did Worldline report?
Worldline reported €200,000 reduction in monthly infrastructure costs; 93% increase in scheme reporting; 40% lift in team productivity, according to its customer story published by Databricks.
Which platform and technologies did Worldline use?
Worldline used Databricks on Azure, including Unity Catalog, Delta Lake, MLflow, Genie, Apache Spark, Power BI.
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: Enabling real-time insights for smarter merchant decisions (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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