Fraud Analytics

Using Data to detect fraud

There are many possible definitions, but for the purpose of our solution, we will consider fraud as any intentional act or omission designed to deceive others, resulting in the victim suffering a loss and/or the author achieving a gain (reimbursement or reselling of (stolen) items).

Some factors that may favour fraud are: size and value of items, ease of resale, cash, lack/weak controls…

Challenges:
  • How to decrease risks and their costs associated?
  • How to predict risk before taking any action such as proposing a contract or validating a claim that implies a reimbursement?
  • How to identify patterns that can significantly increase the quality for each domain like Security?

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