Chang, W.
, Reinsch, R.
and Austin, C.
(2019),
NIST Big Data Interoperability Framework: Volume 9, Adoption and Modernization, Special Publication (NIST SP), National Institute of Standards and Technology, Gaithersburg, MD, [online], https://doi.org/10.6028/NIST.SP.1500-10r1
(Accessed October 13, 2024)
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NIST Big Data Interoperability Framework: Volume 9, Adoption and Modernization
Published
Author(s)
, Russell Reinsch, Claire C. Austin
Abstract
The potential for organizations to capture value from Big Data improves every day as the pace of the Big Data revolution continues to increase, but the level of value captured by companies deploying Big Data initiatives has not been equivalent across all industries. Most companies are struggling to capture a small fraction of the available potential in Big Data initiatives. The healthcare and manufacturing industries, for example, have so far been less successful at taking advantage of data and analytics than other industries such as logistics and retail. Effective capture of value will likely require organizational investment in change management strategies that support transformation of the culture, and redesign of legacy processes. In some cases, the less-than-satisfying impacts of Big Data projects are not for lack of significant financial investments in new technology. It is common to find reports pointing to a shortage of technical talent as one of the largest barriers to undertaking projects, and this issue is expected to persist into the future. This volume explores the adoption of Big Data systems and barriers to adoption; factors in maturity of Big Data projects, organizations implementing those projects, and the Big Data technology market; considerations for implementation and modernization of Big Data systems; and, Big Data readiness.Citation
Special Publication (NIST SP) - 1500-10r1
Report Number
1500-10r1
NIST Pub Series
Pub Type
NIST Pubs
Download Paper
Keywords
Technology adoption, barriers to adoption, market maturity, project maturity, organizational maturity, implementation, system modernization, digital transformation, Big Data readiness.
Citation
Issues
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Created October 21, 2019, Updated January 7, 2020