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Take the FinScan Premium False Positive Challenge

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:

  1. Diagnosis of the current condition of your data
    • Identifies types of data issues, including duplicate records
    • Recommendation of how to improve your data before using it for compliance screening
  2. The business case for fixing your data to achieve better screening accuracy, productivity, and risk management
    • Expected decrease in false positives and resulting savings in review time and resources
    • Expected reduction in potential risk of missing true hits if steps are not taken to make data compliance-ready
Selected Clients

Customer Logo - Volvo Customer Logo - United States Steel Customer Logo - American Red Cross Customer Logo - Dell Financial Services Customer Logo - William Hill Customer Logo - CVS Pharmacy Customer Logo - China Construction Bank Customer Logo - Arthur J Gallagher