Strengthen Your AML Compliance Program with Data Mining
To build an effective anti-money laundering (AML) compliance program, you must first start with data you can trust. But in the age of big data we are overloaded with streams of data from various sources—and we often lack the ability to derive insights from it.
Today, data mining is a critical component of any compliance program. By helping identify hidden patterns, discover unknown relationships in your data, and predict behaviours and trends, data mining can be a strategic part of your business. In this webinar, we will examine data mining techniques that can be used to identify risk factors in your compliance program, monitor customer activity and provide insights into your overall business.
- Examine the impact of data mining as a means of fraud detection
- Understand how to combine technology and human behaviour to identify fraud and other financial crimes
- Learn data mining strategies you can incorporate into your continuous controls monitoring and compliance programs
- Explore real-world case studies that illustrate how to apply data mining techniques
MEET THE PRESENTER:
Rory Barrett is a Business Analyst and Project Manager at Symptai Consulting. He has spent years contributing his knowledge of modern technology practices to projects in Business Assurance, IT Audit and IT Security departments with specializations in implementing and designing data analytics in anti-money laundering programs.
A graduate of the Illinois Institute of Technology in Chicago, Illinois, Rory has completed Business Continuity and IDEA™ Data Analysis training sessions and has contributed to the successful continuous monitoring of business processes with a range of clients.