Measuring business intelligence and analytics capability maturity: a study of organisations in India

Aditi S. Divatia, Jyoti Tikoria and Sunil Lakdawala

International Journal of Business Information Systems, 2024, vol. 47, issue 1, 50-72

Abstract: While there have been studies for development and evaluation of maturity models for measuring business intelligence and analytics (BI&A) capability maturity of organisations, there has been no empirical study done solely for assessing the BI&A capability maturity of organisations. The purpose of this paper is to measure the BI&A capability maturity in organisations. This has been done through an empirical study with a sample of 145 organisations from different industry sectors in India. BI&A capability maturity has been assessed using six influencing factors. Analysis has been done based on industry sectors and segments, where findings have indicated some distinct industry segments with varying BI&A capability maturity. Organisations have also been grouped based on the maturity of six factors using K-means clustering technique. Each cluster was found to be representing a different level of maturity. The clusters have been reorganised to bring out interesting insights about BI&A capability maturity. The study presents important managerial implications.

Keywords: business intelligence; business analytics; capability maturity; k-means clustering; elbow method; factor analysis; maturity level; India. (search for similar items in EconPapers)
Date: 2024
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