Using Analytics to Reduce Fraud in Public Procurement - Implementing the Fraud Reduction and Data Analytics (FRDA) Act

摘要

Using Analytics to Reduce Fraud in Public Procurement-Implementing the Fraud Reduction & Data Analytics (FRDA) Act. The Fraud Reduction and Data Analytics Act (FRDA) was recently passed by the Congress to combat the scourges of fraud through technological means. The FRDA mandates Federal agencies to use data analytical techniques after treating fraud as a risk that needs to be managed at an enterprise level. The Act also encourages different agencies to work together and share best practices in use of such technologies.;The thesis explores the FRDA by examining how it fits into the current regulatory scheme to control fraud in the federal procurement arena through the prism of history and its essential objectives. The thesis also briefly surveys the analytics techniques and explores concerns and issues in implementation of such technologies. It also provides a review of current techniques available to agencies to implement the FRDA and what pitfalls to avoid executing such implementation strategy by examining analytics techniques and studying what other governmental entities have done to control the scourge of procurement fraud.