How to Prevent Financial Fraud with Real-Time Graph Analytics

Financial fraud techniques are evolving in scale and sophistication. Modern fraudsters operate across identities, devices and geographies and exploit blind spots within siloed data systems, making it increasingly difficult for analysts to rely on traditional methods to detect suspicious activity. With regulatory pressure mounting, tightened customer protection requirements and collaborative institutional intelligence sharing are necessary for effective fraud prevention. This is where multi-model data management and visualization offer a powerful remedy to this complexity. Join experts from Cambridge Intelligence and Progress for a live demo of advanced data visualization. You’ll learn how to: -> Unify your data intelligence into a single data platform to enable real-time collaboration and secure sharing across your organization and with external partners -> Visualize hidden fraud networks through intuitive interfaces to enable analysts to navigate and uncover complex relationship patterns other systems miss -> Accelerate investigation workflows that trace suspicious activity to transform weeks of manual investigation into hours of analysis