Skip to content
METRIC OAK

New: the 3-week Data Platform Assessment: fixed fee, priced roadmap. See what's included →

Financial services · Databricks

AME Digital: Combatting the impact of financial fraud

Public case study · not a Metric Oak engagement

Accuracy in fraud prevention models
90%
More speed while running the model pipeline (vs. on-premises)
3.2x
Reduction in data management costs
38%

What happened

The story in brief

A Brazilian digital wallet with tens of millions of customers operates in one of the world's largest fraud markets. It moved its anti-fraud data and model pipelines from on-premises systems to Databricks, improving model accuracy and running the pipeline several times faster at lower data-management cost.

How it compares

  • 3.2x more speed while running the model pipeline (vs. on-premises), against a median speed-up of 5x across 8 financial services results.
  • 38% reduction in data management costs, against a median reported cost reduction of 60% across 19 financial services results.
See the full financial services benchmark

Planning something similar?

Cloud data migration

Legacy warehouse to lakehouse, with parallel-run validation. Senior engineers, fixed scope, measured results.

  • Financial services · Databricks

    ABN AMRO

    10x

    Faster time to market: use cases deployed in 2 months

  • Financial services · Databricks

    Addepar

    5x

    Faster pipeline development, accelerating client onboarding

  • Financial services · Databricks

    AXA Japan

    60%

    Reduction in warehouse costs for certain phases of the migration

Related insights

Frequently asked questions

What results did AME Digital report?

AME Digital reported 90% accuracy in fraud prevention models; 3.2x more speed while running the model pipeline (vs. on-premises); 38% reduction in data management costs, according to its customer story published by Databricks.

Which platform and technologies did AME Digital use?

AME Digital used Databricks, including Unity Catalog, Delta Lake, MLflow, Power BI.

How do these results compare with other financial services programs?

3.2x more speed while running the model pipeline (vs. on-premises), against a median speed-up of 5x across 8 financial services results. 38% reduction in data management costs, against a median reported cost reduction of 60% across 19 financial services results.

Source

Customer story published by Databricks: Combatting the impact of financial fraud (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.

Have 30 minutes? Get a senior architect’s view of your data platform.

No sales deck. You talk to the engineer who would lead the work.

Book an architecture review