Early Predictive Indicators of Contractor Performance

A Data-Analytic Approach

By: Philip S. Anton, William Shelton, James Ryseff

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Paperback | 31 July 2022

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Paperback
108 Pages

Dimensions(cm)
27.94 x 21.59 x 0.58

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Early identification of risks or problems in contract execution is critical for proactive acquisition management. The authors describe a new way to apply data science to disparate and disjointed government and external data sources to highlight the relative contractor performance risks and provide earlier indicators of performance issues in Department of the Air Force acquisition contracts and programs than current sources and metrics do.

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