Fraud Detection & Child Welfare

Existing fraud detection analytics solutions enable a data scientist to run models and queries to score potential fraudsters and lob over batches of these potential leads to fraud investigators, who then begin the long and often manual process of evidence gathering. These convoluted analytics tools place an unwelcome strain on organizations by failing to provide the relational context needed to rapidly shorten investigative lifecycles. Learn how 21CT fraud detection analytics lead beyond the lead to create actionable investigative findings.