Dimensions influencing business intelligence and analytics maturity: a critical analysis

Aditi S. Divatia, Jyoti Tikoria and Sunil Lakdawala

International Journal of Business Information Systems, 2021, vol. 37, issue 2, 200-223

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. (search for similar items in EconPapers)
Date: 2021
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