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    Financial Compliance

    Insurance Fraud Detection : FDS

    Summary
    Fraud detection system based on insurance fraud data collection and analysis and business regulation analysis which produces pattern predictions and performs continuous monitoring.
    Main Functions
    Suspicious transaction detection maximization – to detect and prevent fraud surveys, different types and forms of analysis are applied within system
    Patterns structurization and standardization – fraud transaction forms categories, scenarios and patterns structuring allows to perform internal system standardization
    High quality data accumulation and enhancement – related information analysis case collection, connected system activities status, lost expenses, detection rate and other criteria's extraction
    High performance big data processing system – provides optimized engine architecture and best performance to process big data
    Key Features
    Solution adjusted for “how to build” monitoring and detection motive in order to provide intelligent quick and flexible response to complex insurance fraud forms.

    Concept Diagram

    FDS