1. Challenge AssumptionsEveryone comes into the fraud detection process with their own assumptions and understandings, which can cloud objectivity in the search for fraud and improper payments. Data analytics allow you to step back and let the data lead you to conclusions instead of personal biases. Nancy McNamara, Assistant Director of the Inspection Division at the Federal Bureau of Investigation (FBI), gave this example: “We don’t like to make those assumptions that just because someone is from a lower-income program or area that they are going to be affiliated with a gang, so we don’t use those measures.” Adds Joe Conway, Chief Technology Officer at Fed Centric Technologies, “The analytics have to be done blind.”
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MeriTalk Staff