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 Essec Business School
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 Systems theory Multi-criteria Governance
Document type :
Conference papers
Complete list of metadatas
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, February 12, 2020 - 3:02:19 PM

Identifiers

Collections

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

Citation

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⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

17

Contact

Informations

CCSD