Relative Contractor Risks: A Data-Analytic Approach to Early Identification
Anton, Philip S./ Shelton, William/ Ryseff, James/ Joplin, Stephen B./ McKernan, Megan
ISBN 10: 1977408753 ISBN 13: 9781977408754
Published by Rand Corp, 2022
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Revaluation Books, Exeter, United Kingdom
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74 pages. 11.00x8.50x0.50 inches. In Stock. Seller Inventory # x-1977408753
Synopsis:
A recurring challenge to successful acquisition program execution is poor contractor performance. Air Force officials asked RAND Corporation researchers to develop and prototype data-analytic methods on a variety of government and commercial data sources to assess relative contractor performance risks in Air Force acquisition contracts and programs. They present initial insights and approaches in exploring and prototyping these methods.
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Bibliographic Details
Title: Relative Contractor Risks: A Data-Analytic ...
Publisher: Rand Corp
Publication Date: 2022
Binding: Paperback
Condition: Brand New
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Relative Contractor Risks: A Data-Analytic Approach to Early Identification
Seller: Buchpark, Trebbin, Germany
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Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | The authors prototyped a new way to apply data analysis on a variety of government and commercial data sources to assess the relative contractor performance risks in Air Force acquisition contracts and programs. Seller Inventory # 38552399/2
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Relative Contractor Risks: A Data-Analytic Approach to Early Identification
Seller: Buchpark, Trebbin, Germany
Seller rating 5 out of 5 stars
Condition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | The authors prototyped a new way to apply data analysis on a variety of government and commercial data sources to assess the relative contractor performance risks in Air Force acquisition contracts and programs. Seller Inventory # 38552399/1