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Financial services · Databricks

Coins.ph: Reinventing digital payments using data and ML

Public case study · not a Metric Oak engagement

Reduction in operating costs
70%
Infrastructure cost reduction
50%
Improvement in ML experimentation
70%

What happened

The story in brief

A Philippine digital payments platform with more than ten million customers needed real-time fraud prevention and reliable financial audits. It moved beyond hand-run operational processes to Databricks for analytics and machine learning, reducing operating costs.

How it compares

  • 70% reduction in operating costs, against a median reported cost reduction of 60% across 19 financial services results.
  • 50% infrastructure cost reduction, against a median reported cost reduction of 60% across 19 financial services results.
See the full financial services benchmark

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Related insights

Frequently asked questions

What results did Coins.ph report?

Coins.ph reported 70% reduction in operating costs; 50% infrastructure cost reduction; 70% improvement in ML experimentation, according to its customer story published by Databricks.

Which platform and technologies did Coins.ph use?

Coins.ph used Databricks, including Delta Lake, MLflow.

How do these results compare with other financial services programs?

70% reduction in operating costs, against a median reported cost reduction of 60% across 19 financial services results. 50% infrastructure cost reduction, against a median reported cost reduction of 60% across 19 financial services results.

Source

Customer story published by Databricks: Reinventing digital payments using data and 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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