• Cognizant 20-20 Insights A Statistical Framework for Cluster Health Assessment and Its Application in

By using cluster analysis to continuously assess the health of peer groups used by anti-money-laundering systems, banks can better understand the reasons for cluster deterioration over time. Executive Summary The art and science of clustering is used in many fields, from ubiquitous customer segmentation for gauging marketing effectiveness, to predicting default patterns among credit card holders, to its recent application by financial institutions to segment investment customers to enhance liquidity management. In the area of anti-money-laundering, the use of peer grouping, or segmenting, is even more prevalent as it provides a tailor-made solution for detecting unusual transactional activities

Money laundering Guidance notes for insurance and retail investment products

SIGLEAvailable from British Library Document Supply Centre- DSC:q94/13084 / BLDSC - British Library Document Supply CentreGBUnited Kingdo