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1 Introduction
Pages 14-19

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From page 14...
... P&R must also address larger-scale questions, such as how the current realignment of forces to the Asia-Pacific area and other regions will affect recruitment, readiness, and retention. New analytical methods for obtaining insight are of critical importance because of challenges such as maintaining a leaner but high-quality force, ensuring "reversibility" after the current personnel drawdown, managing escalating health-care costs, and identifying other cost issues early.
From page 15...
... There has been a proliferation of available data and databases in the DoD enterprise functions, along with great advances in methods for gathering, storing, and accessing big data, and there have been advances in analytic techniques useful in working with large data sets. With these raw materials, data science can be applied to improve the efficiency and effectiveness of the DoD enterprise functions and to improve DoD's planning in general.
From page 16...
... The committee also conducted 14 site visits with the following organizations and groups: Office of the Under Secretary of Defense (Personnel & Readiness) ; Office of the Chief of Naval Operations, Manpower and Personnel; Office of the Assistant Secretary of the Army, Manpower and Reserve Affairs; Air Force Office of Manpower, Personnel ­ and Services; RAND; CNA; IDA; Naval Postgraduate School; Defense BOX 1.1 Study Statement of Task An ad hoc committee will develop a roadmap and implementation plan for the inte­ gration of data analytics in support of decisions within the purview of the Department of Defense's Office of the Under Secretary of Defense (Personnel & Readiness)
From page 17...
... How would current analytical approaches and skill sets need to change? • How can P&R best leverage data analytics capabilities that already exist in other parts of DoD (e.g., in components dealing with R&D and with intelligence operations)
From page 18...
... Chapter 7 provides the committee's findings and recommendations, including opportunities and possible approaches for P&R to improve data quality and sharing through improved planning and coordination between data holders, streamlined Institutional Review Boards for outside researchers, and improved access with relevant privacy considerations; to enhance the use of data science methods by developing a longer-term approach to integrating advanced
From page 19...
... 2011. OnTheMark: Integrated stochastic resource planning of human capital supply chains.


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