Recent financial and economic conditions have prompted greater scrutiny of government spending, highlighting the important role oversight and law enforcement agencies play in identifying and eliminating fraud, waste, and abuse. A number of government oversight and law enforcement agencies are using data analytics-which involve a variety of techniques to analyze and interpret data-to help identify and reduce fraud, waste, and abuse. For example, predictive analytic technologies can identify fraud and errors before payments are made, while others, such as datamining and data-matching techniques, can identify fraud or improper payments that have already been awarded, thus assisting agencies in recovering these dollars. However, despite these efforts, the path to capitalizing on the potential of data analytics is not a clear one. While there is a tremendous amount of information that the government can use, identifying what data are available and then finding ways to analyze and use the data effectively are critical steps to moving forward.