Critical success factors for business intelligence system implementation in public sector organisation

<p>This study aims empirically to analyze the critical factors that impact the success of ERP system implementation in the public sector in the Kingdom of Bahrain and to clarify the benefits gained from the implementation. The study used a detailed questionnaire as a measuring instrument across the sample group to measure two main variables, the first being critical success factors (CSFs), and the second whether ERP implementation was successful or not. The CSFs are top management commitment and support, ERP system matching organization, business process re-engineering, vendor support, and training users.</p>Those factors found to have a significant impact on ERP system implementation and the results illuminate the high level of success in implementing ERP systems. While simultaneously demonstrating that an organization with a functioning ERP system does not achieve the desired benefits by default, but rather the organization requires certain Critical Success Factors (CSFs) to be present and in effect for those benefits to be achieved.

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Critical Success Factors for the Implementation of Business Intelligence Systems

International Journal of Business Intelligence Research ◽

10.4018/ijbir.2018070102 ◽

2018 ◽

Vol 9 (2) ◽

pp. 27-46 ◽

Cited By ~ 2

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.

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Critical Success Factors of Business Intelligence System Implementations

International Journal of Enterprise Information Systems ◽

10.4018/jeis.2012040101 ◽

2012 ◽

Vol 8 (2) ◽

pp. 1-13 ◽

Cited By ~ 21

Author(s):

Elad Harison

Keyword(s):

Business Intelligence ◽

Success Factors ◽

Analytical Framework ◽

Personal Factors ◽

System Implementation ◽

Intelligence System ◽

Organizational Attributes ◽

Critical Success ◽

Wide Range ◽

And Performance

Business Intelligence (BI) systems are applied by increasing numbers of organizations in a wide range of sectors. Despite the growing numbers of BI solutions and the experience augmented in many implementation projects worldwide, as well as the value that BI systems provide to organizations, IT literature lacks a coherent set of definitions through which BI systems can be classified, categorized, and assessed. Furthermore, BI implementation projects often do not succeed or do not fully accomplish the degrees of value and performance as expected, when firms fail to complete the system implementation, to satisfy the needs of users or when the benefits BI systems produce are lower than anticipated. This paper presents an analytical framework through which BI systems are defined and classified. On the basis of this framework, possible technical, organizational, and personal factors that affect the failure, partial or full success of BI system implementations are discussed. These factors are followed by a case study and empirical data analyses that exemplify and assess the extent to which various organizational attributes and properties of users influence the success or failure of BI implementation projects. Finally, implications regarding the management of BI system implementation projects and the organizations that apply them are derived.

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