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

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, India

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.

DOI: 10.1504/IJBIS.2024.142193

International Journal of Business Information Systems, 2024 Vol.47 No.1, pp.50 - 72

Received: 19 Jan 2020
Accepted: 11 May 2021
Published online: 14 Oct 2024 *

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