Insurance companies lose millions of dollars each year through fraudulent claims, largely because they do not have a way to easily determine which claims are legitimate and which may be fraudulent. To ensure that adjusters target claims which have the greatest likelihood of adjustment, many insurance companies have incorporated IBM SPSS data mining into their investigating and auditing processes. This report describes how data mining techniques can enable you to improve accuracy and save time, money and resources.