Critical Success Factors for the Implementation of Business Intelligence Systems

2018 ◽  
Vol 9 (2) ◽  
pp. 27-46 ◽  
Author(s):  
Florian Eder ◽  
Stefan Koch
Keyword(s):  
Business Intelligence ◽  
Critical Success Factors ◽  
Success Factors ◽  
Qualitative Content Analysis ◽  
Expert Interviews ◽  
Management Support ◽  
Intelligence System ◽  
Critical Success ◽  
Business Intelligence Systems ◽  
Definition Of

This article focuses on critical success factors during the implementation of a business intelligence system. The existing literature was reviewed, and critical success factors were extracted. Subsequently, the critical success factors that occur in practice were collected through qualitative expert interviews that are analysed through a qualitative content analysis. The critical success factors found in literature are afterwards compared with those that have been collected during the expert interviews. It was found that many of the critical success factors were mentioned in the literature and in the expert interviews as well, such as a strong management support, a light-weight approach, user acceptance, the project team and data quality. In addition, the performance of the business intelligence system, the definition of standards, terminology and key performance indicators as well as an institutionalization and integration of business intelligence were mentioned in the expert interviews.

Empirical Investigation of Critical Success Factors for Implementing Business Intelligence Systems in Multiple Engineering Asset Management Organisations

2011 ◽  
pp. 2039-2063
Author(s):  
William Yeoh ◽  
Jing Gao ◽  
Andy Koronios
Keyword(s):  
Business Intelligence ◽  
Asset Management ◽  
Delphi Study ◽  
Critical Success Factors ◽  
Success Factors ◽  
Business Case ◽  
Management Support ◽  
Critical Success ◽  
Compliance Requirements ◽  
Development Approach

Engineering asset management organisations (EAMOs) are increasingly motivated to implement business intelligence (BI) systems in response to dispersed information environments and compliance requirements. However, the implementation of a business intelligence (BI) system is a complex undertaking requiring considerable resources. Yet, so far, there are few defined critical success factors (CSFs) to which management can refer. Drawing on the CSFs framework derived from a previous Delphi study, a multiple-case design was used to examine how these CSFs could be implemented by five EAMOs. The case studies substantiate the construct and applicability of the CSFs framework. These CSFs are: committed management support and sponsorship, a clear vision and well-established business case, business-centric championship and balanced team composition, a business-driven and iterative development approach, user-oriented change management, a business-driven, scalable and flexible technical framework, and sustainable data quality and integrity. More significantly, the study further reveals that those organisations which address the CSFs from a business orientation approach will be more likely to achieve better results.

scholarly journals Critical success factors for business intelligence in the South African financial services sector

2013 ◽  
Vol 15 (1) ◽  
Author(s):  
Lionel Dawson ◽  
Jean-Paul Van Belle
Keyword(s):  
South African ◽  
Business Intelligence ◽  
Financial Services ◽  
Critical Success Factors ◽  
Success Factors ◽  
Emerging Market ◽  
Management Support ◽  
Services Sector ◽  
Financial Services Sector ◽  
Critical Success

Background: Business intelligence (BI) has become an important part of the solution to providing businesses with the vital decision-making information they need to ensure sustainability and to build shareholder value. Critical success factors (CSFs) provide insight into those factors that organisations need to address to improve new BI projects’ chances of success.Objectives: This research aimed to determine which CSFs are the most important in the financial services sector of South Africa.Method: The authors used a Delphi-technique approach with key project stakeholders in three BI projects in different business units of a leading South African financial services group.Results: Authors regarded CSF categories of ‘committed management support and champion’,‘business vision’, ‘user involvement’ and ‘data quality’ as the most critical for BI success.Conclusions: Researchers in the BI field should note that the ranking of CSFs in this study only correlate partially with those a European study uncovered. However, the five factors the authors postulated in their theoretical framework ranked in the seven highest CSFs. Therefore, they provide a very strong validation of the framework. Research in other industries and other emerging economies may discover similar differences and partial similarities. Of special interest would be the degree of correlation between this study and future, and similar emerging market studies. Practitioners, especially BI project managers, would do well to check that they address the CSFs the authors uncovered before undertaking BI projects.

scholarly journals Modeling the Critical Success Factors for Business Intelligence Implementation

2021 ◽  
Vol 12 (2) ◽  
pp. 1-21
Author(s):  
Kanika Chaudhry ◽  
Sanjay Dhingra
Keyword(s):  
Qualitative Study ◽  
Business Intelligence ◽  
Critical Success Factors ◽  
Success Factors ◽  
Management Support ◽  
Review Of The Literature ◽  
Interpretive Structural Modeling ◽  
Goal Alignment ◽  
Critical Success ◽  
The Relationship

Business intelligence (BI) helps organizations to make better and quicker decisions. The primary requirement, as per previous studies, for any successful BI implementation in an organization and its' stakeholders, is to understand and pay heed to the vital issues and factors governing it. The objective of this study is, thus, to analyze the various critical success factors (CSF’s) for Business Intelligence Implementation, in context to the Indian sub-continent. In this qualitative study, the CSF’s for BI implementation are classified, through the review of the literature and to identify the relationship among the CSF's, Interpretive Structural Modeling (ISM) is applied along with MICMAC classification method. The ISM approach's outcome shows that management support and business goal alignment are the most significant driving factors for implementing BI. These findings may help recognize the crucial facts that affect the firms adopting BI in India and give some insights for other countries

Empirical Investigation of Critical Success Factors for Implementing Business Intelligence Systems in Multiple Engineering Asset Management Organisations

2009 ◽  
pp. 247-271 ◽  
Author(s):  
William Yeoh
Keyword(s):  
Business Intelligence ◽  
Asset Management ◽  
Delphi Study ◽  
Critical Success Factors ◽  
Success Factors ◽  
Business Case ◽  
Management Support ◽  
Critical Success ◽  
Compliance Requirements ◽  
Multiple Case

Engineering asset management organisations (EAMOs) are increasingly motivated to implement business intelligence (BI) systems in response to dispersed information environments and compliance requirements. However, the implementation of a business intelligence (BI) system is a complex undertaking requiring considerable resources. Yet, so far, there are few defined critical success factors (CSFs) to which management can refer. Drawing on the CSFs framework derived from a previous Delphi study, a multiple-case design was used to examine how these CSFs could be implemented by five EAMOs. The case studies substantiate the construct and applicability of the CSFs framework. These CSFs are: committed management support and sponsorship, a clear vision and well-established business case, business-centric championship and balanced team composition, a business-driven and iterative develop ment approach, user-oriented change management, a business-driven, scalable and flexible technical framework, and sustainable data quality and integrity. More significantly, the study further reveals that those organisations which address the CSFs from a business orientation approach will be more likely to achieve better results.

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