130-2011: Highlighting Unusual Behavior in Insurance Based on Social Network Analysis
نویسنده
چکیده
Insurance companies have evolved into a highly competitive market that demands companies to put in place an effective customer behavior monitoring system, both in terms of usage and value. Unusual behavior in insurance can represent distinct business meanings, such as heavy users or suspicious transactions. Social network analysis can be used to raise business knowledge in relation to the average customer’s behavior and, therefore, to highlight unexpected usage. Regardless of the reason for high usage in relation to insurance services, high usage substantially impacts the operational cost, either by the claims’ expenses or the possible fraud events. SNA can be used to evaluate the different roles assigned to the actors and their relationships, allowing companies to deploy a more effective program to better understand and monitor the claims’ transactions.
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