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Evaluation of Big Data governance : combining a multi-criteria approach and systems theory

Jacky Akoka 1, 2 Isabelle Comyn-Wattiau 3
1 CEDRIC - Centre d'études et de recherche en informatique et communications
2 DSI - Département Systèmes d'Information
3 CEDRIC - ISID - CEDRIC. Ingénierie des Systèmes d'Information et de Décision
CEDRIC - Centre d'études et de recherche en informatique et communications
Abstract : The main objective of Big Data is to meet business competitiveness and facilitate decision-making. To achieve this goal, the implementation of a governance plan is necessary. In this article, we propose a big data governance evaluation approach based on the fact that big data governance is seen as an artifact having the characteristics of a system. We develop a multi-criteria hierarchy organized according to the main dimensions of systems theory. The approach is illustrated on a practical case.
Keywords : Big data Multi-criteria Systems theory Governance
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Conference papers
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https://hal.archives-ouvertes.fr/hal-02283693
Contributor : Médiathèque Télécom Sudparis & Institut Mines-Télécom Business School <>
Submitted on : Wednesday, September 11, 2019 - 9:40:28 AM
Last modification on : Wednesday, June 24, 2020 - 4:18:35 PM

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INSTITUT-TELECOM | IMT-BS | CNAM | CEDRIC-CNAM | UNIV-HESAM

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Jacky Akoka, Isabelle Comyn-Wattiau. Evaluation of Big Data governance : combining a multi-criteria approach and systems theory. IEEE World Congress on Services 2019, Jul 2019, Milan, Italy. pp.398-399, ⟨10.1109/SERVICES.2019.00122⟩. ⟨hal-02283693⟩

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