Title: Impact of business intelligence-enabled processes on banks' performance in India

Authors: Sanjay Dhingra; Kanika Chaudhry

Addresses: University School of Management Studies, Guru Gobind Singh Indraprastha University, Dwarka, New Delhi, India ' University School of Management Studies, Guru Gobind Singh Indraprastha University, Dwarka, New Delhi, India

Abstract: The implementation of business intelligence (BI) in the banking industry is the key to the success of making the vital business processes effective and efficient. The study aims to explore how business intelligence, especially data warehousing and data-mining technologies, are impacting the performance of Indian banks and what are the various processes of the bank which are getting influenced by implementing and using BI. The study also analyses some of the banks' processes and provides an idea about the application of business intelligence, in the Indian banking sector. The three BI-enabled business processes empirically tested are fraud analysis, internal process efficiency and customer relationship management. The reliability and validity of the instrument was checked by creating the measurement model using structured equation modelling (SEM). The results obtained by applying factor analysis followed by multiple regression, show that all three processes using BI tools significantly impact banks' performance.

Keywords: business intelligence; data warehousing; data mining; business processes; bank performance; structured equation modelling; SEM; India.

DOI: 10.1504/IJBEX.2022.124583

International Journal of Business Excellence, 2022 Vol.27 No.3, pp.307 - 331

Received: 05 Jul 2019
Accepted: 12 Jan 2020
Published online: 28 Jul 2022 *

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