Title: Dimensions influencing business intelligence and analytics maturity: a critical analysis

Authors: Aditi S. Divatia; Jyoti Tikoria; Sunil Lakdawala

Addresses: Department of Information Management, S.P. Jain Institute of Management and Research, Bhavans Campus, Munshi Nagar, Andheri West, Mumbai, India ' Department of Management, Birla Institute of Technology and Science, Pilani, India ' A3 Remote Monitoring Technologies Pvt. Ltd., Mumbai, 400079, India

Abstract: The importance of business intelligence and analytics (BI&A) as a capability in an organisation has grown over the years. In order to assess the state of BI&A, managers today need to identify the critical dimensions which influence the maturity of BI&A capability. A wide range of maturity models (MMs) have been developed, for the purpose of assessment of BI&A capability maturity. Managers may find it difficult to select the appropriate MM to use especially with the changing characteristics of data over time and advent of big data. Each of these models has multiple dimensions which are not necessarily exhaustive and distinct. This study consolidates the large number of dimensions found across 29 BI&A MMs in extant literature. With help of an expert panel, a set of six distinct and critical dimensions needed for assessing BI&A capability in organisations have been identified. Qualitative research tool NVIVO is used for analysis of the research articles.

Keywords: business intelligence; business analytics; maturity; big data; capability maturity; NVIVO; dimensions; maturity model.

DOI: 10.1504/IJBIS.2021.115375

International Journal of Business Information Systems, 2021 Vol.37 No.2, pp.200 - 223

Received: 02 Aug 2018
Accepted: 25 Dec 2018
Published online: 01 Jun 2021 *

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