This document discusses fraud investigations in industries that handle large amounts of data. It notes that fraudsters use big data to conceal fraud and that data-driven investigations can uncover more fraud than traditional methods. The document describes how one insurance company used data analysis to uncover over $1 million in fraudulent claims from an individual and department that were not discovered through traditional investigations. It advocates for combining investigative skills with data analysis skills and having access to industry data sets to more effectively investigate fraud in data-heavy industries.