U.S. fraud cases cost businesses billions of dollars every year, particularly in sectors such as healthcare and insurance. 

While data theft accounts for the bulk of these costs, business disruption and loss of productivity related to fraud also have a significant impact on the bottom line, representing 36 percent of total losses due to fraud, according to data cited by Stetson University.

The infographic below explains some of the most effective data analysis techniques used to detect fraud.