Case Study: AME Digital achieves stronger fraud prevention and lower operational costs with Databricks

AME Digital uses Databricks to prevent fraud and reduce costs

AME Digital, a Brazilian digital wallet serving more than 33 million customers, faced growing challenges managing large volumes of customer and transaction data in one of the world’s most fraud-prone markets. To strengthen anti-fraud operations and support its data and AI strategy, AME Digital turned to Databricks.

Using the Databricks Data Intelligence Platform, AME Digital unified data management, governance, machine learning, and analytics with tools like Delta Lake, Unity Catalog, Photon, and Power BI integration. Databricks helped deliver a 34% reduction in operational costs, cut job execution times from 5 hours 30 minutes to 50 minutes, and improved fraud detection model accuracy to 90%, while scaling AME Digital’s data foundation from 1TB to 400TB+.

Ame Digital

Filipe Barbosa

Data Product Manager