Poor quality data poses the biggest challenge to a successful AML program. Bad data can result in too many false positives, unnecessary due diligence, and worst of all, potentially missing a true hit.
The first step to improving your data for the overall success of your AML program is to get an accurate assessment of the current condition of your data.
Take the FinScan False Positive Challenge
FinScan’s False Positive Challenge provides an opportunity for compliance leaders to see how optimizing their data for compliance screening drastically reduces false positives and associated risk by 50% or more vs. other screening solutions!
You will receive: