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Data Value, Big Data Analytics, and Decision-Making

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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.

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Notes

  1. The first use of the term Big Data was in 1999 in an academic paper—Visually Exploring Gigabyte Datasets in Realtime published by the Association for Computing Machinery.

  2. In France, for example about 65 million people, 83 % are Internet users. Forty-two percent are on Facebook, 28 million members. More than 72 million phones are activated and the French spend on average of more than 4 h at their computer to surf the Internet every day. The French mobinautes spend 58 min and 68 % of the population is registered on social networks. The French pass over than 1 h 30 every day at the consultation of the social networks.

  3. Describe the growing number of devices online and the potential for them to communicate with each other, often without a human “middle man.” The term is used as the title of a presentation given to Procter and Gamble by RFID pioneer Kevin Ashton.

  4. TRIS laboratory: Treatment and Research of Information and Statistics.

  5. Setting up R&D by e-prospects with TRIS researchers.

  6. Lobby is an organized structure to represent and defend the interests of a particular group by exerting pressure or influence on people or institutions holding power… Examples include the work that the association UFC has made “What should I choose” that provided documents to parliamentarians to raise awareness of the health risks of obesity among middle school and high school students (see: http://www.lobbyiste.org/).

  7. Examples include the work that the association UFC has made “What should I choose” that provided documents to parliamentarians to raise awareness of the health risks of obesity among middle school and high school students (see: http://www.lobbyiste.org/).

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Correspondence to Jean-Louis Monino.

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Monino, JL. Data Value, Big Data Analytics, and Decision-Making. J Knowl Econ 12, 256–267 (2021). https://doi.org/10.1007/s13132-016-0396-2

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  • DOI: https://doi.org/10.1007/s13132-016-0396-2

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