Advances in computing power and analytical software are uncovering new ways to identify fraud. In the past, analytical procedures like Benford’s Law have helped uncover fraud schemes in ledger and journal entry data. However, if you stick strictly to numbers, you could be missing out. A vast majority of organizational data are unstructured text. Fraud magazine has a two-part article that details the use of a methodology that analyses the frequency of letters to help uncover potential fraudulent activity.