Successful business intelligence implementation: a systematic literature review <s> Introduction <s> Business Intelligence (BI): Its not just a technology. Its not just a methodology. Its a powerful new management approach that - when done right - can deliver knowledge, efficiency, better decisions, and profit to almost any organization that uses it.When BI first came on the scene, it promised a lot but often failed to deliver. The missing element was the business-centric focus explained in The Profit Impact of Business Intelligence. Written by BI gurus Steve Williams and Nancy Williams, The Profit Impact of Business Intelligence shows step by step how you can achieve the promise of BI by connecting it to your organizations strategic goals, culture, and strengths while correcting your BI weaknesses.Features:* Provides a practical, process-oriented guide to achieve the full promise of BI.* Shows how world-class companies used BI to become leaders in their industries.* Helps senior business and IT executives understand the strategic impact of BI and how they can ensure a strong payoff from their BI investments.* Identifies the most common mistakes organizations make in implementing BI.* Includes a helpful glossary of BI terms.* Includes a BI readiness assessment for your organization.* Includes Web links and extensive references for more information.Steve Williams, President and founder of DecisionPath Consulting, is a leading advocate of business-driven BI design and development. His consulting firm is one of the largest in the specialized field of Business Intelligence and Data Warehousing. Steve has over 23 years experience in information systems and systems engineering and has co-authored a training course on the BI Pathway Method. Nancy Williams is Vice President of DecisionPath Consulting. With over 21 years of business and technical experience, she provides technical and strategic leadership on business intelligence as well as hands-on guidance for client engagements. * A practical, process-oriented book that will help organizations realize the promise of BI* Written by Nancy and Steve Williams, veteran consultants and instructors with hands-on, "in the trenches" experience in government and corporate business intelligence applications* Will help senior business and IT executives understand the strategic impact of BI and how theycan help ensure a strong payoff on BI investments <s> BIB001 </s> Successful business intelligence implementation: a systematic literature review <s> Introduction <s> Extant studies suggest implementing a business intelligence BI system is a costly, resource-intensive and complex undertaking. Literature draws attention to the critical success factors CSFs for implementation of BI systems. Leveraging case studies of seven large organizations and blending them with Yeoh and Koronios's 2010 BI CSFs framework, our empirical study gives evidence to support this notion of CSFs and provides better contextual understanding of the CSFs in BI implementation domain. Cross-case analysis suggests that organizational factors play the most crucial role in determining the success of a BI system implementation. Hence, BI stakeholders should prioritize on the organizational dimension ahead of other factors. Our findings allow BI stakeholders to holistically understand the CSFs and the associated contextual issues that impact on implementation of BI systems. <s> BIB002 </s> Successful business intelligence implementation: a systematic literature review <s> Introduction <s> E-Government is now on the rise in developing countries. While developing countries can "leapfrog" technology generations, the necessary organizational change is another matter. In industrialized c ... <s> BIB003 </s> Successful business intelligence implementation: a systematic literature review <s> Introduction <s> Business Intelligence (BI) systems have been rated as a leading technology for the last several years. However, organizations have struggled to ensure that high quality information is provided to and from BI systems. This suggests that organizations have recognized the value of information and the potential opportunities available but are challenged by the lack of success in Business Intelligence Systems Implementation (BISI). Therefore, our research addresses the preponderance of failed BI system projects, promulgated by a lack of attention to Systems Quality (SQ) and Information Quality (IQ) in BISI. The main purpose of this study is to determine how an organization may gain benefits by uncovering the antecedents and critical value factors (CVFs) of SQ and IQ necessary to derive greater BISI success. We approached these issues through adopting ‘critical value factors’ (CVF) as a conceptual ‘lens’. Following an initial pilot study, we undertook an empirical analysis of 1300 survey invitations to BI analysts. We used exploratory factor analysis (EFA) techniques to uncover the CVFs of SQ and IQ of BISI. Our study demonstrates that there is a significant effect in the relationships of perceived IQ of BISI to perceived user information satisfaction thereby confirming the importance BI system users place on information and the output produced. Our study also reported that there is a significant effect in the relationships of perceived IQ of BISI to perceived user system satisfaction thereby confirming the importance BI system users place on system output. We believe our research will be of benefit to both academics and practitioners in attempting to ensure BI systems implementation success. <s> BIB004 </s> Successful business intelligence implementation: a systematic literature review <s> Introduction <s> Business intelligence (BI) solutions have been adopted within organizations as a mean to achieve a more grounded decision making process that results in better organizational outcomes. Nowadays, about 70% to 80% of business intelligence implementation projects fail due to both technological and managerial issues. Multi-methodology proposed by Mingers (2006) was followed to develop the research in four phases: appreciation, where documental search was conducted through a literature review; analysis, where hypothetical structures related with the key success factors were proposed; assessment, where key success factors were assessed along with experts; and action, where research results discussion was shown. As a result, 13 factors that affect the business intelligence solution’s success were identified. Those factors contribute to improve planning and implementation of business intelligence projects, accomplishing in a greater extent the purposes of these projects. <s> BIB005 </s> Successful business intelligence implementation: a systematic literature review <s> Introduction <s> Keen competitions among banks to attract and maintain clients, together with issues such as risk management, and loss prevention are some of the common phenomena in the banking sector recently. As a result, Business Intelligence (BI) technologies which can be used to analyze and detect fraud, predict and understand the behavior of clients have come to the rescue of the banks. This study explores the factors that influence Ghanaian banks to adopt BI Systems and also determines the extent of its implementation. This was done with the development of a structural model through the lens of the Diffusion of Innovations Theory, Technology-Organization-Environment framework, and the Institutional Theory. A sample data from 130 Bank executives were subjected to partial least squares structural equation modeling (PLS-SEM). The results showed that technological factors (Relative Advantage and Complexity), organizational factors (Presence of Champion and Organizational Readiness), and environmental factors (Regulatory Body) account for BI Systems adoption in Ghanaian banks. Also, the analysis revealed that Ghanaian banks have reached a high level in terms of BI Systems implementation. This study contributes to enrich the Information Systems (IS) literature by identifying the contextual factors that organizations especially in sub-Saharan Africa (SSA) countries should focus on with their BI Systems implementation effort. Other implications are also discussed. <s> BIB006
Organisations tend to own a tremendous volume of data. However, as noted by BIB001 , much data are poor in quality or inappropriate whether or not there has been a big investment in information technology (IT) within an organisation. Business intelligence (BI) can, however, help in delivering substantial amounts of information that is useful in a manner that is accurate and timely; such systems, therefore, can enhance decision-making processes BIB001 BIB002 . During the last decade, significant numbers of organisations of varying sizes and within a broad range of industrial sectors, from manufacturing to health services to the financial sector, have been implementing systems for BI in order to support decision makers and help achieve improvements in the performance of organisations  . Whilst it seems that BI has been accepted broadly and employed by many leading organisations across the world, there has been little research to examine the factors that lie behind successful implementation of BI BIB002 . The suggestion from within the literature is that various factors, such as strategy, a project champion, the approach of toplevel managers, organisation resources and change management, can have a significant impact. However, there is no consensus upon what factors in particular account for success BIB002 BIB004 BIB005  . In general, most studies have undertaken explorations of the issue within the developed world in countries such as the USA or within Western Europe. As such, there is just a limited range of such studies conducted within developing countries  BIB003  BIB006 . As such, this research has the aim of identifying, in empirical terms, which factors may have a bearing upon BI implementation through the use approaches from multiple perspectives, the study seeks to address this current gap within the knowledge and understanding of the issue. The research output has the potential of helping researchers in the future in the clearer identification of studies from the review of literature relevant to their research. Furthermore, reviewers and editors of journals require systematic reviews when examining the degree to which a submitted article has been undertaken with a review of the research available that is sufficiently inclusive. Within the sections that follow, there will be an explanation of the chosen research methodology for the preparation of the compiled studies. There will be searching of databases and journals through the use of key terms that have been identified within a preliminary review of literature. In order to identify how important each of the factors is, there will be the conducting of an analysis of frequency for the factors. In doing so, there will be a critical discussion around the factors that have been identified and presentation of the relationships that exist between implementationrelated factors and dimensions of success for BI. Lastly, this paper puts forward some conclusions as well as potential implications for research in the future.