Assessing Department of Defense Use of Data Analytics and Enabling Data Management to Improve Acquisition Outcomes

Abstract

Limited Print and Electronic Distribution RightsThis document and trademark(s) contained herein are protected by law. This representation of RAND intellectual property is provided for noncommercial use only. Unauthorized posting of this publication online is prohibited. Permission is given to duplicate this document for personal use only, as long as it is unaltered and complete. Permission is required from RAND to reproduce, or reuse in another form, any of its research documents for commercial use. For information on reprint and linking permissions, please visit www.rand.org/pubs/permissions.The RAND Corporation is a research organization that develops solutions to public policy challenges to help make communities throughout the world safer and more secure, healthier and more prosperous. RAND is nonprofit, nonpartisan, and committed to the public interest. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.

Digital transformation dimensions for evaluating SMEs' readiness for big data analytics and artificial intelligence: A review

“…The prominence of strategy and technology in assessing big data analytics and artificial intelligence readiness and maturity echoes Ustaoglu (2019), stating that technology, organisation and strategy are discussed in nearly all papers on the readiness and maturity model. Furthermore, the big data analytics and artificial intelligence strategy could inform investments while ensuring that cross-domain linkages are addressed and coordinated (Anton et al, 2019). Moreover, the big data analytics and artificial intelligence strategy would need to be aligned with operational, functional and corporate strategies (Matt et al, 2015).…”

Data science, artificial intelligence and the third wave of digital era governance

“…As with corporations, the push here has been towards the full evolution of (linear algebra) optimization system capacities used in operational research, plus the development of more ambitious machine learning algorithms. The intelligent centre eats up high level expertise, professionalism and expert central staff, so that getting the right personnel has been amongst the most acute constraints, especially given the scale of demand for expertise created by massive developments like the Pentagon's joint-all-domain command systems and 'integrated warfighter' information systems (Anton et al, 2019).…”