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Empowering the Defense Acquisition Workforce to Improve Mission Outcomes Using Data Science

By: and Medicine Engineering National Academies of Sciences Division of Behavioral and Social Sciences and Education Policy and Global Affairs Division on Engineering and Physical Sciences Committee on National Statistics Board on Higher Education and Workforce Computer Science and Telecommunications Board Air Force Studies Board Committee on Applied and Theoretical Statistics Board on Mathematical Sciences and Analytics Committee on Improving Defense Acquisition Workforce Capability in Data Use (Author)

Ksh 7,380.00
Format :

Format(s): DRM EPUB

ISBN-13: 9780309684965

Publisher: National Academies Press

Imprint: National Academies Press

Publication Date: August 31st, 2021

Country of Publication: US

Language: English

Pages: 154

Physical Edition EAN: 9780309684934

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  • Author Bio

The effective use of data science - the science and technology of extracting value from data - improves, enhances, and strengthens acquisition decision-making and outcomes. Using data science to support decision making is not new to the defense acquisition community; its use by the acquisition workforce has enabled acquisition and thus defense successes for decades. Still, more consistent and expanded application of data science will continue improving acquisition outcomes, and doing so requires coordinated efforts across the defense acquisition system and its related communities and stakeholders. Central to that effort is the development, growth, and sustainment of data science capabilities across the acquisition workforce.At the request of the Under Secretary of Defense for Acquisition and Sustainment, Empowering the Defense Acquisition Workforce to Improve Mission Outcomes Using Data Science assesses how data science can improve acquisition processes and develops a framework for training and educating the defense acquisition workforce to better exploit the application of data science. This report identifies opportunities where data science can improve acquisition processes, the relevant data science skills and capabilities necessary for the acquisition workforce, and relevant models of data science training and education.

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