Wednesday, April 21, 2021

The Ticking Time Bomb of Bad Data and AML Compliance

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Poor quality data poses the biggest challenge to successful anti-money laundering (AML) compliance screening. In a recent survey, 63% of compliance professionals reported lacking confidence in their data. The irony is that compliance officers have no control over the quality of their data, yet are responsible for the consequences of bad data – namely, too many false positives, unnecessary due diligence, and the ultimate risk of missing a true hit, which can lead to huge fines and reputational damage.

To combat data issues and empower compliance professionals to take control of their results, Innovative Systems announces FinScan® Premium*, an AML screening platform developed from artificial intelligence and algorithmic learnings gained from scanning 100 billion+ data points annually and five decades of experience in improving data. The result is data that is compliance-ready for watch list screening.

FinScan Premium addresses data quality problems such as duplicates, inconsistent formats, dummy data, and customer names misplaced in non-name fields, thereby reducing false positives and the risk of missing true hits by an average of 50%.

“Increasing volumes and quality issues within data make sanctions screening a challenge,” said Martin Schofield, AML compliance and financial crime expert. “FinScan Premium’s ability to reduce risk and false positives through clean data means that valuable compliance resources can be dedicated where they are truly needed. It allows compliance professionals to take control of their data, and thereby the overall success of their compliance programs.”

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