Data Value, Big Data Analytics, and Decision-Making

Jean-Louis Monino ()
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Jean-Louis Monino: Université de Montpellier

Journal of the Knowledge Economy, 2021, vol. 12, issue 1, No 17, 256-267

Abstract: Abstract With the increasing integration of different technologies in a growing range of equipment and products, big data is a paradigm shift that involves data analysis, using well-known schemes, to extract patterns in hidden relationships. This is the radical change in the “business model” of a company related to the monetization of the data it collects. The biggest question for a company is no longer deciding if it should launch new products, but rather taking advantage of available (structured or unstructured) data and to know how to develop a high performance and design an appropriate mining to efficiently analyze big data and to find the useful things from it. The objective of this paper is to show that the challenges of the era of “data revolution” focus on data uses. It is linked to the rise of the intangible economy that mobilizes knowledge and highlights the importance of data. To deeply discuss this issue, this paper illustrates the buzz words related to data especially big data and open data, in order to illuminate the discussions of data valorization.

Keywords: Big data; Open data; Data analytics; Valorization; Decision-making (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (3)

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DOI: 10.1007/s13132-016-0396-2

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