Case Study: Top 10 Bank improves fraud detection and compliance performance with Unravel Data

Top 10 Bank Leverages Unravel’s Aiops to Tame Fraud Detection and Compliance Performance

Top 10 Bank, one of America’s ten largest banks, relied on big data apps for fraud detection and compliance, but its DataOps team struggled with slow, frequently failing workflows across Informatica, Hive, Spark, and Kafka. Before working with Unravel Data, troubleshooting required weeks of digging through raw logs, and the bank had little visibility into cluster utilization or whether critical ETL workloads were meeting SLAs.

With Unravel Data’s AI-driven DataOps platform, the bank gained unified monitoring, root-cause diagnostics, cluster optimization insights, automated recommendations, and cloud assessment guidance. Unravel Data helped the team quickly identify and fix performance issues, including cleanup recommendations for nearly half a million Hive tables, improve resource usage, and streamline future cloud planning—while also enabling broader business users to access the data lake and driving a cultural shift toward more data-driven operations.