Using knowledge management to give context to analytics and big data and reduce strategic risk


At the moment, the phrases “big data” and “analytics” are often being used as if they were magic incantations that will solve all an organization’s problems at a stroke. The reality is that data on its own, even with the application of analytics, will not solve any problems. The resources that analytics and big data can consume represent a significant strategic risk if applied ineffectively. Any analysis of data needs to be guided, and to lead to action. So while analytics may lead to knowledge and intelligence (in the military sense of that term), it also needs the input of knowledge and intelligence (in the human sense of that term). And somebody then has to do something new or different as a result of the new insights, or it won’t have been done to any purpose. Using an analytics example concerning accounts payable in the public sector in Canada, this paper reviews thinking from the domains of analytics, risk management and knowledge management, to show some of the pitfalls, and to present a holistic picture of how knowledge management might help tackle the challenges of big data and analytics.

Publication DOI:
Divisions: College of Business and Social Sciences > Aston Business School > Operations & Information Management
Additional Information: © 2016 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (
Uncontrolled Keywords: knowledge management,Canada,strategic risk,analytics,big data,Data Envelopment Analysis (DEA),processes,Management Science and Operations Research,General Computer Science
Publication ISSN: 1877-0509
Last Modified: 27 Jun 2024 08:56
Date Deposited: 10 Oct 2016 08:05
Full Text Link:
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2016
Published Online Date: 2016-09-27
Accepted Date: 2016-09-27
Authors: Edwards, John S. (ORCID Profile 0000-0003-3979-017X)
Rodriguez Taborda, Eduardo

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