Title: Factors that drive the selection of business intelligence tools in South African financial services providers

Authors: Bonginkosi Phila Gina; Adheesh Budree

Addresses: University of Cape Town, Upper Campus, Leslie Commerce Building, Rondebosch 7701, South Africa ' University of Cape Town, Upper Campus, Leslie Commerce Building, Rondebosch 7701, South Africa

Abstract: Innovation and technology advancements in information systems (IS) have resulted in a multitude of product offerings and business intelligence (BI) software tools in the market to implement business intelligence systems (BIS). As a result, a high proportion of organisations fail to employ suitable software tools meeting organisational needs. The study aimed to discover critical factors influencing the selection of BI tools. This was a quantitative study and questionnaire-surveyed data was collected from 92 participants. The data was analysed by employing SPSS and SmartPLS-3 software's to test the significance of influential factors. The findings showed that software tool technical factors, vendor technical factors, and opinion non-technical factors are significant. The study contributes to both academia and industry by providing influential determinants for software tool selection. It is hoped that the findings presented will contribute to a greater understanding of factors influencing the selection of BI tools for researchers and practitioners alike.

Keywords: business intelligence tools; BITs; business intelligence systems; BIS; business intelligence; BI; software factors; software selection; software tool; vendor; opinion.

DOI: 10.1504/IJBIDM.2023.130590

International Journal of Business Intelligence and Data Mining, 2023 Vol.22 No.4, pp.389 - 409

Received: 23 Jul 2021
Accepted: 25 Oct 2021
Published online: 01 May 2023 *

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