Business Intelligence Implementation Critical Success Factors

Abstract

Many organizations take business intelligence (BI) systems to improve their decision-making processes. Although many organizations have adopted BI systems, not all of these implementations have been successful. This chapter seeks to identify critical success factors (CSFs) that impact on the successful implementation of BI systems in organizations. So, at first, through literature review, 26 CSFs were identified. Following that, a questionnaire was developed and then filled out by domain experts who had at least three years of experience in BI implementation projects. Robust exploratory factor analysis (EFA) was run for data analysis, which finally classified 26 CSFs into four distinct groups termed as “organizational,” “human,” “project management,” and “technical.” The results of this study provide a very useful reference for scholars and managers to identify the relevant issues of BI projects in Iran.

Business Intelligence (BI)

“…On like the previous study by (Gaardboe & Jonasen, 2018;Ravasan & Savoji, 2019) adopted a literature review approach to look into business intelligence critical success factors implementation. Therefore, its major objective was to find and document critical success factors that influence a successful implementation of business intelligence systems in an organization.…”

Critical Success Factors for BI Systems Implementation and Delivery

“…CSFs are essential components of the implementation of BI systems (Eder & Koch, 2018). The CSF theory states that several factors require consideration in the organization to ensure proper implementation of the various processes and changes intended by the organization (Ravasan & Savoji, 2019). Identifying CSFs is crucial in developing an implementation strategy for a BI system that aligns with the organization's environment, opportunities, and threats (Ranjbarfard & Hatami, 2020).…”

“…Business intelligence (BI) systems are critical tools for organizations to improve their operations and decision-making processes (Ravasan & Savoji, 2019). They have numerous potential benefits to companies (Antoniadis et al, 2015;Dobrev & Hart, 2014;Indriasari et al, 2019;Rouhani et al, 2016), better service delivery (Popovič et al, 2019), and improved decision-making.…”

“…They have numerous potential benefits to companies (Antoniadis et al, 2015;Dobrev & Hart, 2014;Indriasari et al, 2019;Rouhani et al, 2016), better service delivery (Popovič et al, 2019), and improved decision-making. These systems enable managers at all levels to access insightful information accurately and timely using simple tools (Ravasan & Savoji, 2019). BI systems technologies include processes, such as data analytics for processing and analyzing large volumes of data, data querying and discovery, data mining, visualization, warehouse, and artificial intelligence, to support analysis and decision-making (Borissova et al, 2016).…”