Title: Critical business intelligence practices to create meta-knowledge
Authors: Sanjay Mathrani
Addresses: School of Food and Advanced Technology, Massey University, Auckland, New Zealand
Abstract: In order to successfully implement strategies and respond to business variations in real-time, business intelligence (BI) systems have been deployed by organisations that assist in focused analytical assessments for execution of critical decisions. Although businesses have realised the significance of BI, few studies have explored their analytical decision-enabling capabilities linked to organisational practices. This study investigates the BI practices critical in creating meta-knowledge successfully for strategy-focused analytical decision-making. First, key BI suppliers are interviewed to develop an understanding of their BI capabilities and current deployment practices. Subsequently, two large BI implementation case studies are conducted to examine their practices in data transformation process. Findings reveal that BI practices are highly context-specific in mapping decisions with data assets. Complimentary static and dynamic evaluations provide holistic intelligence in predicting and prescribing a more complete picture of the enterprise. These practices vary across firms in their effectiveness reflecting numerous challenges and improvement opportunities.
Keywords: business strategy; business intelligence; knowledge management; decision support; data transformation.
DOI: 10.1504/IJBIS.2021.112413
International Journal of Business Information Systems, 2021 Vol.36 No.1, pp.1 - 20
Received: 20 May 2020
Accepted: 13 Jul 2020
Published online: 14 Jan 2021 *