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

Empowering the Defense Acquisition Workforce to Improve Mission Outcomes Using Data Science
Author :
Publisher :
Total Pages : 120
Release :
ISBN-10 : 0309684935
ISBN-13 : 9780309684934
Rating : 4/5 (35 Downloads)

Book Synopsis Empowering the Defense Acquisition Workforce to Improve Mission Outcomes Using Data Science by : National Academies of Sciences, Engineering, and Medicine

Download or read book Empowering the Defense Acquisition Workforce to Improve Mission Outcomes Using Data Science written by National Academies of Sciences, Engineering, and Medicine and published by . This book was released on 2022-02-19 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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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