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Accession Number:
AD1016815
Title:
Big Data Analysis of Contractor Performance Information for Services Acquisition in DoD: A Proof of Concept
Corporate Author:
Naval Postgraduate School Monterey United States
Report Date:
2016-04-30
Abstract:
This paper explores the use of Big Data analytic techniques to explore and analyze large datasets that are used to capture information about DoD services acquisitions. We describe the burgeoning field of Big Data analytics, how it is used in the private sector, and how it could potentially be used in acquisition research. We test the application of Big Data analytic techniques by applying them to a dataset of CPARS Contractor Performance Assessment Reporting System ratings of acquired services, and we create predictive models that explore the causes of failed services contracts using three analytic techniques logistic regression, decision tree analysis, and neural networks. The report concludes with recommendations for using Big Data analytic techniques in acquisition.
Descriptive Note:
Conference Paper
Supplementary Note:
Thirteenth Annual Acquisition Research Symposium , 04 May 2016, 05 May 2016,
Pages:
0046
Distribution Statement:
Approved For Public Release;
File Size:
0.97MB
