Accession Number : ADA607864


Title :   Data Analytics in Procurement Fraud Prevention


Descriptive Note : Research rept.


Corporate Author : NAVAL POSTGRADUATE SCHOOL MONTEREY CA


Personal Author(s) : Phillips, Thurman B ; Lanclos, Raymond J


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a607864.pdf


Report Date : Jun 2014


Pagination or Media Count : 95


Abstract : The purpose of this research project is to explore the viability of detecting anomalies through using data analytics software as a tool in procurement fraud prevention and to analyze its potential policy implications on federal procurement stakeholders. According to a survey conducted in 2012 by the Association of Certified Fraud Examiners, organizations lose an estimated 5% of their revenues to fraud each year. In order to relate this estimate to the Department of Defense (DOD), this estimated percentage was applied to the requested DOD FY 2013 budget of $613.9 billion outlined in the Fiscal Year 2013 Budget Overview, resulting in a projected total fraud loss of $30.7 billion. The use of data analytics software has the potential to not only detect fraudulent procurements, but also to help deter fraudulent activities before they occur. The results of this research study will be a recommendation on the use of data analytics as a tool to detect anomalies that may indicate procurement fraud in DOD organizations.


Descriptors :   *DATA PROCESSING SECURITY , ANOMALIES , COMPUTER PROGRAMS , GOVERNMENT PROCUREMENT


Subject Categories : Computer Systems Management and Standards


Distribution Statement : APPROVED FOR PUBLIC RELEASE