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dc.contributor.advisorRendon, Rene G.
dc.contributor.advisorRendon, Juanita M.
dc.contributor.advisorEger, Robert J.
dc.contributor.authorPhillips, Thurman B.
dc.contributor.authorLanclos, Raymond J.
dc.dateJune 2014
dc.date.accessioned2014-08-13T20:17:56Z
dc.date.available2014-08-13T20:17:56Z
dc.date.issued2014-06
dc.identifier.urihttp://hdl.handle.net/10945/42708
dc.descriptionApproved for public release; distribution is unlimiteden_US
dc.description.abstractThe 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.en_US
dc.publisherMonterey, California: Naval Postgraduate Schoolen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. As such, it is in the public domain, and under the provisions of Title 17, United States Code, Section 105, may not be copyrighted.en_US
dc.titleData analytics in procurement fraud preventionen_US
dc.typeThesisen_US
dc.contributor.departmentGraduate School of Business & Public Policy (GSBPP)
dc.subject.authorProcurement frauden_US
dc.subject.authorfraud preventionen_US
dc.subject.authordata analyticsen_US
dc.subject.authordata analytics programen_US
dc.subject.authorfraud schemesen_US
dc.description.serviceLieutenant Commander, United States Navyen_US
etd.thesisdegree.nameMaster of Business Administrationen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineBusiness Administrationen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US


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