Title: Towards building a comprehensive big data management maturity framework

Authors: Mervat Helmy; Sherif Mazen; Amal Elgammal; M. Wagdy Youssef

Addresses: Department of Information Systems, Faculty of Computers and Artificial Intelligence, Cairo University, Egypt ' Department of Information Systems, Faculty of Computers and Artificial Intelligence, Cairo University, Egypt ' Department of Information Systems, Faculty of Computers and Artificial Intelligence, Cairo University, Egypt ' Ministry of Justice, Cairo, Egypt

Abstract: Profound insights are generated today from exploiting big data. However, organisations are still not recognising how mature their big data management capabilities are, and what improvements are needed. There is still no structured approach to assess the maturity of big data management capabilities. Existing solutions lack a consistent perception of big data management capabilities, a reliable assessment, and a rigid improvement scheme. So, the main contribution of this article is conducting an analytical study on existing key works in assessing and building big data management capabilities, and upon, the main requirements for building a comprehensive big data management maturity framework are proposed. Results of validating the developed framework proved that it enabled organisations to assess, build, and improve their current big data management capabilities.

Keywords: big data management maturity; big data management; big data management capabilities; big data capabilities; big data analytics capabilities; BDAC; big data analytics capabilities construct; big data maturity; big data maturity model; BDMM; big data maturity assessment; big data capabilities assessment.

DOI: 10.1504/IJIDS.2023.132826

International Journal of Information and Decision Sciences, 2023 Vol.15 No.3, pp.243 - 279

Received: 20 Nov 2020
Accepted: 12 Apr 2021
Published online: 11 Aug 2023 *

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