Why this Webinar

Account-based monitoring might tell you a customer is not transacting in a suspicious manner because you think they have one account transacting $5,000/month.  But what if the customer has (or controls) 5, 10, or 50 other accounts that you are not linking together? Entity Resolution, Account Matching and Linking are key activities in the understanding of total customer risk and the proper segmentation of customers for screening and monitoring, and the complete thorough monitoring of customer activities (across multiple accounts) to detect and investigate TM and Fraud alerts.

Entity Resolution, Account Matching & Linking are key activities in the understanding of total customer risk and the proper segmentation of customers for screening and monitoring, and the complete thorough monitoring of customer activities (across multiple accounts) to detect and investigate TM and Fraud alerts.

Data quality plays a key role in Entity Resolution & Account Linking, because data validation, normalization & standardization enable high confidence matching as you connect data from across your enterprise.

During this webinar, we will discuss Data Quality challenges and demonstrate techniques that will enable you to improve the detection of suspicious activities by better understanding your customers and their network.

Topics Covered:

• Data quality and its effects on entity resolution.
• The differences and dependencies between Entity Resolution, Account Matching and Account Linking?
• Account-Based vs. Party-Based monitoring.
• Leveraging visualization and graph databases.
• Leveraging this clean, connected information in your existing AML and Fraud systems to improve effectiveness.
• Leveraging non-obvious account matching (for) Segmentation and Customer Risk Rating.
• Synthetic identify detection for Fraud Prevention