9th Annual International Conference on Industrial Engineering and Operations Management

Business Analytics Maturity Models: A Systematic Review of Literature

Kaveesha Ariyarathna & Suren Peter
Publisher: IEOM Society International
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Track: Information Systems and Information Technology
Abstract

Organizations are increasingly using analytical tools to extract strategic information from data that have been collected over many years, in order to derive a competitive advantage in the global market. The level of use of such tools vary, and different maturity models are used to represent different analytics implementations within organizations. Maturity models have been developed for both business analytics and business intelligence separately. Objective of this study is to evaluate the maturity models developed recently. The business analytics maturity models consider both technical and business aspects. A few models have considered both theoretical and practitioner knowledge. Nevertheless, a lack of consideration for theoretical knowledge in developing maturity models was noted. Most models consisted of stages where maturity is described under each level corresponding to the factors relevant to each stage. Lot of similar factors can be seen among these models. These models act like a road map to achieve business analytics maturity within enterprises. It was also found that the maturity models were developed in a developed country setting. A need for an integrated maturity model with both technical and business aspects, incorporating the theoretical knowledge base and taking factors affecting business analytics maturity in developing countries was established.

Published in: 9th Annual International Conference on Industrial Engineering and Operations Management, Bangkok, Thailand

Publisher: IEOM Society International
Date of Conference: March 5-7, 2019

ISBN: 978-1-5323-5948-4
ISSN/E-ISSN: 2169-8767