Fraud Analytics will depict the elements of analysis that are used in today's fraud examinations, fraud investigations, and financial crime investigations. It will review the types of anlysis that should be considered prior to beginning an investigation. For example, in a financial crimes investigation (e.g. money laundering) it helps to create a commodity flow analysis chart associating the "red flags" to suspects and/or organizations. It will show how to use data mining techniques to detect fraud, review the two major data analytics providers, ACL and IDEA and show how valuable a tool this is for investigators and auditors. Throughout, examples will be provided along with sample cases to show readers how the concepts discussed work in practice.