CRITICAL FACTORS FOR BUSINESS INTELLIGENCE SUCCESS

Business intelligence (BI) is a strategically important tool for organisations. Numerous studies have attempted to investigate the factors that contribute to BI success. However, an overview of the critical success factors (CSFs) is lacking, as is an understanding of the gaps in the extant research. After examining 444 articles, we integrated the findings of 29 studies. We used the framework of information system success to identify the CSFs and to analyse how researchers identify information system success. We identified 36 variables related to BI success in the extant literature. The distinct CSFs relate to project management skills, management support, user involvement, the external environment and management processes. In the articles in which BI success was operationalised, we found several dis-tinct factors: system quality, information quality, use, service quality, user satisfaction and net bene-fits. We extended the framework of information system success to include three additional factors: strategy and vision, organisational form and competency development. We contribute to the extant research by extending the framework of information system success and identifying the gaps in the extant research. We contribute to practice through an enhanced understanding of the CSFs related to BI success

Critical success factors for business intelligence systems

The implementation of a business intelligence (BI) system is a complex undertaking requiring considerable resources. Yet there is a limited authoritative set of critical success factors (CSFs) for management reference because the BI market has been driven mainly by the IT industry and vendors. This research seeks to bridge the gap that exists between academia and practitioners by investigating the CSFs influencing BI systems success. The study followed a two-stage qualitative approach. Firstly, the authors utilised the Delphi method to conduct three rounds of studies. The study develops a CSFs framework crucial for BI systems implementation. Next, the framework and the associated CSFs are delineated through a series of case studies. The empirical findings substantiate the construct and applicability of the framework. More significantly, the research further reveals that those organisations which address the CSFs from a business orientation approach will be more likely to achieve better results.<br /

Open Source Alternatives for Business Intelligence: Critical Success Factors for Adoption

The purpose of this research is to identify critical factors that affect the adoption of Open Source Business Intelligence (OPBI) tools and to compare the differences between OPBI and Proprietary Business Intelligence (PBI) tools. Based on the Technology Acceptance Model, an organizational adoption model was designed to analyze four cases of organizations that have adopted Business Intelligence (BI) tools. The cases were documented using a tested protocol and a set of interviews. The analysis of the cases shows that organizations with fewer resources and simpler IT selection processes tend to adopt OPBI. The most cited reason for using OPBI software is cost savings. The results also reveal that for most users OPBI does not require sophisticated BI specialists and offers as many useful features as PBI tools. These findings are important to BI vendors, users, developers, and organizations interested in adopting BI technologies

State-of-the-art review and critical success factors for mobile business intelligence

Due to ubiquitous information requirements, market interest in mobile business intelligence (BI) has grown markedly. However, mobile BI market is a relatively new area that has been driven primarily by the IT industry. Yet, there is a lack of systematic study on the critical success factors for mobile BI. This research reviews the state-of-the-art of mobile BI, and explores the critical success factors based on a rigorous examination of the academic and practitioner literature. The study reveals that critical success factors of mobile BI generally fall into four key dimensions, namely security, mobile technology, system content and quality, and organisational support perspectives. The various research findings will be useful to organisations which are considering or undertaking mobile business intelligence initiatives

Business Intelligence Implementation Success Framework: A Literature Review

In contemporary competitive business context, managers are increasingly using Business Intelligence (BI) as the technique and solution to improve their understanding of a business environment.  This paper introduces studies performed on the implementation of BI in SMEs between 2000 and 2015, and it is multi-purpose. First, it examines types of research questions addressed by studies of BI carried out in developing countries. Second, its purpose is to identify the gaps in the BI studies in these countries. Third, it aims to be a base for developing a framework for BI implementation success through the classification of the critical success factors (CSFs) found in the relevant literature. Due to this model, BI stakeholders can identify and understand the crucial factors behind the successful implementation of BI systems in SMEs. Keywords: business intelligence, small and medium-sized enterprises, literature review, critical success factors. DOI: 10.7176/EJBM/11-6-0

Integrating Business Intelligence and Analytics in Managing Public Sector Performance: An Empirical Study

Business intelligence and analytics (BIA) is emerging as a critical area to boost organizational performance. Nowadays, data is not only important and valuable to the organization but recognized as necessary to spike the organization performance and success. As a result, many organizations spend a considerable amount of investment toward obtaining faster accurate information on a real-time basis. The previous study revealed that even though many organizations use business intelligence technologies for obtaining information, yet they still lack analytics implementation. Therefore, this study aims to discover the integrated implementation factors of business intelligence and analytics in managing organizational performance, particularly for organizations of the public sector. In achieving this, a depth literature review was carried out to identify the influential factors in the implementation of business intelligence, business analytics, and performance management. The subject matter experts in Business Intelligence (BI), Business Analytics (BA) and Organisational Performance Management (OPM) were invited to participate in this empirical study, which was conducted in Malaysia. The study was carried out through interviewing experts, in order to identify the essential factors for business intelligence and data analytics implementation. Twenty essential factors and sixty-four sub-factors were identified and analyzed to construct the integrated factors in BIA and OPM implementation. The result of the study revealed four integrated factors of the BIA and OPM implementation, such as skill, documentation, visualization, and work culture. Finance, data management, software, strategic planning, and decision-making are other factors integrated with BI, BA, and OPM respectively. Finally, this study illustrates the integrated factors in a visual form

A Comparative Study of Critical Success Factors for General and Healthcare Business Intelligence Systems

Critical Success Factor (CSF) research provides a useful instrument for better managing a project and driving it to success. Research about CSFs for business intelligence (BI) systems and industry-specific CSFs have been noted; however, scant research has been conducted to investigate CSFs for healthcare BI projects. This paper adopted a mixed method approach to investigate differences between CSFs of BI systems in general and BI systems in the healthcare industry. We found that although CSFs of healthcare BI are similar to those of general BI, there is a significant overlap between CSFs for BI development and use. This finding supports the intertwined relationship between success of different BI project phases, which has yet been acknowledged in BI and IS success models

Contextual critical success factors for the implementation of business intelligence & analytics: A qualitative case study

Business intelligence & analytical (BI&A) implementation success depends on the interplay between CSFs-in-context. One persistent criticism of work in IS implementation has been the neglect of exploring implementation CSFs within a multi-layered context. Findings from a case study at a large banking organization in South Africa suggest that an adequate analysis of business intelligence and analytics implementation involves interweaving a CSF analysis with the distinctive features of its multi-layered context. This includes the bank’s intraorganizational context and the IS and BI setting (inner-context) and the broader socioeconomic and political context (outer-context) as domains of analysis. The evidence shows that the actions and interactions of organizational members involved in the BI implementation were being shaped and constrained by the dynamics within these contexts – in particular, coping with complex contextual challenges exerted increasing demands on the implementation team. The ability of the implementation team to overcome these situational demands was at best mixed and the success of the BI implementation therefore varied from unit to unit within the bank. Practitioners should sharpen their problem-solving skills by assessing CSFs within the unique situations they encounter. Future case study research should provide an explicit description and analysis of CSFs-in-context to deepen our understanding of effective BI&A implementations

Evaluation of business intelligence project success in tintas Robbialac, SA : an exploratory case study

Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Marketing IntelligenceThe evaluation of Business Intelligence (BI) project success is an important process in companies, regardless the industry. However, many studies found in literature only focus on certain aspects of project success, such as critical success factors, and only a few are focused on the process of evaluation of BI project success. In order to help fulfill this gap, this study presents an exploratory case study of Tintas Robbialac, SA, a reference company of the paint industry. The company approach to the evaluation of project success is presented and discussed

BI Systems Managers’ Perception of Critical Contextual Success Factors: A Delphi Study

The present article investigates critical contextual success factors (CCSFs) that influence business intelligence (BI) system success in terms of their relevance and controllability. The initial set of CCSFs is based on an analysis of existing literature and serves as the basis for further exploration of these factors. Advances to previous studies are the validation of possible CCSFs influencing BI system design by domain experts in a Delphi Study and the multi-dimensional view of these factors. A carefully selected expert panel investigated CCSFs not only with regard to the dimensions of relevance – which is typical for ranking-type Delphi studies – they also assessed each factor in the dimension of controllability. This two-dimensional approach allowed us to identify five distinct clusters of CCSFs that influence BI system success. This paper contributes to information systems (IS) research on critical success factors in general and provides the BI domain with specific insights. The results contribute to the BI success factor literature and can potentially be generalized to other IS. BI managers may use the results to assess their daily challenges in BI system development and maintenance projects