5th North American International Conference on Industrial Engineering and Operations Management

Assessment of Big Data Analytics Maturity Models: An Overview

Ramatu Muhammad Nda, Rosmaini Tasmin & Nor Aziati Abdul Hamid
Publisher: IEOM Society International
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Abstract

Regularly, innovation in communication technology, computer software, and hardware development challenge experts in Information and Communication Technology (ICT) field. As a result, making the professionals adapting to new opportunities as well as related challenges. The most recent reprising dynamic of this version is big data analytics. The technology of big data analytics uses improvements in open source code, software programming, and commodity hardware which have potential value to significantly collect and analyze massive data, new kinds of data to gain insights. Organizations are beginning to pick interest in big data analytics to take advantage of adopting their technologies and techniques. However, the potential of big data analytics to provide insights and increase the profitability into business processes to excel depend on the organization’s level maturity. Therefore, this paper provides highlight reviews on the existing big data maturity models; its uses, merits, demerits, and the most utilized models.

Published in: 5th North American International Conference on Industrial Engineering and Operations Management, Detroit, USA

Publisher: IEOM Society International
Date of Conference: August 9-11, 2020

ISBN: 978-0-9855497-8-7
ISSN/E-ISSN: 2169-8767