Case Study: Leading Global Bank achieves more accurate AML transaction monitoring and fewer false positives with Precisely Spectrum Entity Resolution

Solving serious data-quality problems is key to AML compliance for global bank

Leading Global Bank faced regulatory action because its anti-money-laundering (AML) transaction monitoring was being undermined by poor counterparty data and missing identifiers. With a six-month deadline to roll out a new monitoring system, the bank engaged Precisely and deployed Precisely Spectrum Entity Resolution (backed by the Precisely World Points of Interest dataset) to deliver the entity-resolution and data-quality capabilities it lacked.

Precisely implemented Spectrum Entity Resolution to assign Global Unique IDs, create a graph-based hub linking internal records and a 100M+ POI dataset, and apply analytics that segment counterparties and flag anomalous behavior. The solution met the tight timeline, can process up to 3 million transactions per hour and consolidates more than 80% of identified third parties, improving cross-jurisdictional alert accuracy, reducing false positives and enabling investigators to combine related alerts into single cases.