Please use this identifier to cite or link to this item: https://dair.nps.edu/handle/123456789/4194
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dc.contributor.authorPhilip Anton-
dc.contributor.authorMegan McKernan-
dc.date.accessioned2020-12-02T19:13:11Z-
dc.date.available2020-12-02T19:13:11Z-
dc.date.issued2020-03-30-
dc.identifier.citationPublished--Unlimited Distributionen_US
dc.identifier.urihttps://dair.nps.edu/handle/123456789/4194-
dc.descriptionAcquisition Management / Defense Acquisition Community Contributoren_US
dc.description.abstractCongress heightened its interest in the U.S. Department of Defense’s (DoD) use of data analytics in acquisition decision-making, requesting in late 2016 a briefing “on the use of data analysis, measurement, and other evaluation-related methods in [DoD] acquisition programs.” Congress’s interest includes analytic and other evaluation-related methods for acquisition that utilize data, the availability and management of data (e.g., best practices for data collection, delivery, and availability), and opportunities to improve these aspects for improving acquisition program management and decision-making. This research informed the secretary’s briefing to Congress. Our research found that the DoD is applying a breadth of data analytics across the whole acquisition life cycle, but more progress can be made. Challenges include data access disincentives, mixed data governance activity, and cybersecurity barriers to using commercial analysis software.en_US
dc.description.sponsorshipAcquisition Research Programen_US
dc.language.isoen_USen_US
dc.publisherAcquisition Research Programen_US
dc.relation.ispartofseriesAcquisition Outcomes;SYM-AM-20-050-
dc.subjectDepartment of Defenseen_US
dc.subjectData Analyticsen_US
dc.subjectData Managementen_US
dc.subjectAcquisition Outcomesen_US
dc.titleAssessing Department of Defense Use of Data Analytics and Enabling Data Management to Improve Acquisition Outcomesen_US
dc.typeArticleen_US
Appears in Collections:Annual Acquisition Research Symposium Proceedings & Presentations

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