Ellen Joyner of SAS, an analytics firm based in Cary, North Carolina, notes that more and more financial firms are using the software to uncover fraud. The latest version of SAS’s software identifies risky borrowers by examining their social networks and Internal Revenue Service records, she says. For example, an applicant may be a bad risk, or even a fraudster, if he plans to launch a type of business which has no links to his social network, education, previous business dealings or travel history, which can be pieced together with credit-card records. Ms Joyner says the software can also determine if an applicant has associated with known criminals—perhaps his fiancée has shared an address with a parolee. Some insurers reduce premiums for banks that protect themselves with such software.
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September 5, 2010
Mining social networks: Untangling the social web | The Economist