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From Chaos to Clarity:
Getting Data Compliance-Ready Roundtable
🗓️ March 18th ⏰1:00 - 1:45 GMT 🌐 Virtual
In regulatory compliance, excuses don’t cut it. Especially when it comes to poor data.
According to a recent FinScan poll of 550 compliance professionals:
59%
said data quality is where they spend most of their time.
And it's no wonder. It costs:
$1
$100
$10
to prevent a data error at the point of entry.
to correct it during a screening batch.
to remediate it after triggers a false positive or regulatory failure.
Registrations for this roundtable are now closed.
Click here to register your interest in future events and stay updated on upcoming opportunities.
There are a variety of reasons why tackling AML data quality may seem insurmountable. They range from cost to prioritization to lack of buy-in.
And compliance-ready data is different than data in other parts of the organization. The stakes are higher and failure is costly to both your organization’s wallet and reputation.
➢ AML data quality is a great concern and expectation of regulators
➢ Data quality is a foundational element to a sound AML compliance program
➢ Understanding the source and reason for poor data is key to correction
➢ Data quality must be an integral part of AML risk management
To fix what is broken and append data quality to AML risk management, you first need a simpler way to address the problem.
This roundtable discussion hosted by Nexus AML and FinScan will address:
➢ The core problems poor quality data causes compliance teams and organizations overall
➢ Real-world actions you can take to solve these issues, and how you can do this without disrupting your organization
➢ The benefits of finally improving your data quality
Roundtable Leaders
Rob Cutler
Managing Director
Nexus AML
Kieran Holland
Solutions Engineering Team Leader
FinScan