Successful business intelligence implementation: a systematic literature review <s> Data sources systems <s> The IT implementation literature suggests that various implementation factors play critical roles in the success of an information system; however, there is little empirical research about the implementation of data warehousing projects. Data warehousing has unique characteristics that may impact the importance of factors that apply to it. In this study, a cross-sectional survey investigated a model of data warehousing success. Data warehousing managers and data suppliers from 111 organizations completed paired mail questionnaires on implementation factors and the success of the warehouse. The results from a Partial Least Squares analysis of the data identified significant relationships between the system quality and data quality factors and perceived net benefits. It was found that management support and resources help to address organizational issues that arise during warehouse implementations; resources, user participation, and highly-skilled project team members increase the likelihood that warehousing projects will finish on-time, on-budget, with the right functionality; and diverse, unstandardized source systems and poor development technology will increase the technical issues that project teams must overcome. The implementation's success with organizational and project issues, in turn, influence the system quality of the data warehouse; however, data quality is best explained by factors not included in the research model. <s> BIB001 </s> Successful business intelligence implementation: a systematic literature review <s> Data sources systems <s> From the Publisher: ::: ::: "If you are looking for a complete treatment of business intelligence, then go no further than this book. Larissa T. Moss and Shaku Atre have covered all the bases in a cohesive and logical order, making it easy for the reader to follow their line of thought. From early design to ETL to physical database design, the book ties together all the components of business intelligence." ::: --Bill Inmon, Inmon Enterprises ::: Business Intelligence Roadmap is a visual guide to developing an effective business intelligence (BI) decision-support application. This book outlines a methodology that takes into account the complexity of developing applications in an integrated BI environment. The authors walk readers through every step of the process--from strategic planning to the selection of new technologies and the evaluation of application releases. The book also serves as a single-source guide to the best practices of BI projects. ::: ::: Part I steers readers through the six stages of a BI project: justification, planning, business analysis, design, construction, and deployment. Each chapter describes one of sixteen development steps and the major activities, deliverables, roles, and responsibilities. All technical material is clearly expressed in tables, graphs, and diagrams. ::: ::: Part II provides five matrices that serve as references for the development process charted in Part I. Management tools, such as graphs illustrating the timing and coordination of activities, are included throughout the book. The authors conclude by crystallizing their many years of experience in a list of dos, don'ts, tips, and rules of thumb. The accompanying CD-ROMincludes a complete, customizable work breakdown structure. ::: ::: Both the book and the methodology it describes are designed to adapt to the specific needs of individual stakeholders and organizations. The book directs business representatives, business sponsors, project managers, and technicians to the chapters that address their distinct responsibilities. The framework of the book allows organizations to begin at any step and enables projects to be scheduled and managed in a variety of ways. ::: ::: Business Intelligence Roadmap is a clear and comprehensive guide to negotiating the complexities inherent in the development of valuable business intelligence decision-support applications. ::: ::: ::: 0201784203B02112003 <s> BIB002 </s> Successful business intelligence implementation: a systematic literature review <s> Data sources systems <s> By combining two independent research streams, we examined the determinant factors of strategic value and adoption of electronic commerce as perceived by top managers in small and medium sized enterprises (SME) in the midwest region of the US. We proposed a research model that suggested three factors that have been found to be influential in previous research in the perception of strategic value of other information technologies: operational support, managerial productivity, and strategic decision aids. Inspired by the technology acceptance model and other relevant research in the area, we also identified four factors that influence electronic commerce adoption: organizational readiness, external pressure, perceived ease of use, and perceived usefulness. We hypothesized a causal link between the perceived strategic value of electronic commerce and electronic commerce adoption. To validate the research model, we collected data from top managers/owners of SME by using an Internet survey. <s> BIB003 </s> Successful business intelligence implementation: a systematic literature review <s> Data sources systems <s> Abstract In the course of the evolution of management support towards corporate wide Business Intelligence infrastructures, the integration of components for handling unstructured data comes into focus. In this paper, three types of approaches for tackling the respective challenges are distinguished. The approaches are mapped to a three layer BI framework and discussed regarding challenges and business potential. The application of the framework is exemplified for the domains of Competitive Intelligence and Customer Relationship Management. <s> BIB004 </s> Successful business intelligence implementation: a systematic literature review <s> Data sources systems <s> Data warehouse (DW) and business intelligence (BI) systems are among the most important IT-based systems in organizations. The decisions made using these systems can fundamentally affect an organization’s nature and performance. This paper reports the results of a case study that investigated the nature of DW/BI development. The theory lens used to frame and analyse the research was critical success factors (CSF). Ten CSF were identified from previous research on executive information systems, DW, and BI. This CSF set was used to analyse the failure of a corporate DW/BI project and the subsequent success of a smaller, functional BI system. To overcome previous criticism of the CSF approach, the CSF were analysed within the project’s organizational context and in terms of the dynamics of CSF over the life of the project. The case provides a number of lessons for organizations embarking on enterprise-scale DW/BI projects. The study shows that the augmented CSF approach is useful in understanding DW/BI development. <s> BIB005 </s> Successful business intelligence implementation: a systematic literature review <s> Data sources systems <s> Data warehousing is an important area of practice and research, yet few studies have assessed its practices in general and critical success factors in particular. Although plenty of guidelines for implementation exist, few have been subjected to empirical testing. Furthermore, no model is available for comparing and evaluating the various claims made in different studies. In order to better understand the critical success factors and their effects on data warehousing success, a research model is developed in this paper. This model is useful for comparing findings across studies and for selecting variables for future research. The model is tested using data collected from a cross sectional survey of data warehousing professionals. Partial Least Square (PLS) is used to validate the structural relations identified in the model. The resulting model has three groups of success factors. Technical factor is found to positively influence information quality, whereas both operational and economic factors have a po... <s> BIB006 </s> Successful business intelligence implementation: a systematic literature review <s> Data sources systems <s> 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. <s> BIB007 </s> Successful business intelligence implementation: a systematic literature review <s> Data sources systems <s> The main objective of this article is to identify the critical success factors (CSFs) for Business Intelligence (BI) systems implementation in small and medium enterprises (SMEs).The structure of the article is subordinated to this objective. The paper identifies the term Business Intelligence, characteristics of Business Intelligence systems, and various perspectives of their development. Then, the existing CSFs of IT projects and BI projects proposed by various authors in literature are reviewed. Next, on the basis of statistical data and literature, the role of SMEs in the economy and the barriers to their development are assessed. The obtained results allowed us to determine that one of the barriers to the SMEs development is the implementation and use of IT. Subsequently, using in-depth interviews with SMEs, the SMEs need for BI systems as well as the determinants and barriers to their implementation are recognized. Based on the findings, using critical thinking and inductive reasoning, the authors of the article along with the researched enterprises have defined CSFs that are crucial for implementing BI systems in SMEs. The results obtained may be useful for managers, policy makers, business analysts, and IT specialists in dealing with planning and implementation of BI systems in SMEs. <s> BIB008 </s> Successful business intelligence implementation: a systematic literature review <s> Data sources systems <s> Nowadays, Business Intelligence (BI) is becoming as a necessity for a lot of organizations. Figures show that billions of US dollars are spent on BI systems annually. Unfortunately, according to statistics, more than half of BI projects are ending with unrealized benefit. Many researchers tried to investigate the reasons behind this failure rate, they found one the main reasons is that many organizations are not yet ready for such systems. Therefore, it is highly encouraged to assess organization's readiness toward BI systems to avoid any losses and to enhance the overall revenue. At the same time, it was noticed that although many studies have been done, but none of them were done empirically on Malaysian context. So, an initiative has been taken, by the authors, to develop a model for assessing organization's readiness toward BI systems, based on the context of Malaysian Organizations (CMOs). This paper will uncover some results of the first round survey of this study. A brief introduction on BI systems and the challenges of their implementation will be presented. In addition, a review and analysis of models for assessing organizations' readiness toward BI systems is provided. <s> BIB009 </s> Successful business intelligence implementation: a systematic literature review <s> Data sources systems <s> This study examines the role of the decision environment in how well business intelligence (BI) capabilities are leveraged to achieve BI success. We examine the decision environment in terms of the types of decisions made and the information processing needs of the organization. Our findings suggest that technological capabilities such as data quality, user access and the integration of BI with other systems are necessary for BI success, regardless of the decision environment. However, the decision environment does influence the relationship between BI success and capabilities, such as the extent to which BI supports flexibility and risk in decision making. <s> BIB010 </s> Successful business intelligence implementation: a systematic literature review <s> Data sources systems <s> While extant business intelligence systems (BIS) adoption research focused mainly on adoption of BIS in large-sized organizations, our understanding about the adoption determinants and the process within small and medium enterprises (SME) is still limited. The aim of our research is to identify SME-specific determinants of BIS adoption at firm level that will guide the development and testing of a BIS adoption framework in the milieu of SMEs. By leveraging semi-structured interviews involving BIS experts and adopters, and blending them with comprehensive IT/IS adoption literature we identified instrumental determinant candidates for delving deeper into BIS adoption in SMEs. <s> BIB011 </s> Successful business intelligence implementation: a systematic literature review <s> Data sources systems <s> The specifics of business intelligence systems compared to operational IS motivate the necessity to research the business intelligence systems acceptance determinants separately. The authors followed an exploratory approach in order to conceptualize a business intelligence acceptance model. Their findings show that in the Business Intelligence Systems context, there is a significant emphasis on organizational factors, such as result demonstrability, social influence, and facilitating conditions with sufficient resources that help build an adequate information culture all substantially influencing the effective acceptance of business intelligence systems. <s> BIB012 </s> Successful business intelligence implementation: a systematic literature review <s> Data sources systems <s> This paper depicts the effect of Critical Success Factors (CSFs) on business intelligence (BI) system implementations in Malaysian context by applying a Delphi study. The results of this study provides insight to the most important CSFS which assist the Malaysian public sector organizations to organize their resources through understanding those CSFs that are most likely to have an impact upon the implementation of the BI system. The modified Delphi study was selected to conduct this study. Result of first round of Delphi study revealed that the user access is insignificant factor for the success of BI system implementation. Moreover, overall finding of Delphi study highlighted the continuous management support, scalable and flexible system, BI team skill, resource allocation, organization culture, and coordination between IT and business units as most important CSFs for implementation of BI system. <s> BIB013 </s> Successful business intelligence implementation: a systematic literature review <s> Data sources systems <s> New progressive technologies recorded growth in every area. Information-communication technologies facilitate the exchange of information and it facilitates management of everyday activities in enterprises. Specific modules (such as Business Intelligence) facilitate decision-making. Several studies have demonstrated the positive impact of Business Intelligence to decision-making. The first step is to put in place the enterprise. The implementation process is influenced by many factors. This article discusses the issue of key success factors affecting to successful implementation of Business Intelligence. The article describes the key success factors for successful implementation and use of Business Intelligence based on multiple studies. The main objective of this study is to verify the effects and dependence of selected factors and proposes a model of key success factors for successful implementation of Business Intelligence. Key success factors and the proposed model are studied in Slovak enterprises. <s> BIB014 </s> Successful business intelligence implementation: a systematic literature review <s> Data sources systems <s> Although the application of business intelligence (BI) system has increased recently, the critical success factors (CSFs) of BI system implementation remain poorly understood. Therefore, understanding CSFs for BI system is necessary for a company to be successful in implementing a BI system. Currently, the number of business successfully implemented BI in Vietnam is still limited. In order to understand the current situation of BI implementation in Vietnam, case study method has been used. Based on the research framework developed by Yeoh & Koronios, in-depth interviews have been conducted with 4 Vietnamese companies, who already implemented BI system. The main result of this study helps to extract the lessons learnt from 4 cases to rank the importance of CSFs for BI implementation in Vietnam context. Based on this result, recommendations were made for increasing the probability of successfully implementing BI system in Vietnam and other countries with similar conditions. <s> BIB015 </s> Successful business intelligence implementation: a systematic literature review <s> Data sources systems <s> Business intelligence is a technology-oriented solution that businesses need to survive in today’s competitive and constantly changing market. To gain the benefits of BI systems, it is important to evaluate, assess, and improve factors that have an influence on BI success. Organizational competencies can provide answers to the question of how companies could gain more benefits from BI systems. While investment in BI systems is increasingly growing, measures to evaluate effective organizational competencies leading to BI success are gaining more importance. Therefore, this research identified a number of effective organizational competencies that contribute to BI success. Using the developed questionnaire for determining the effect of organizational level success on BI success, the research data was gathered for the study. A chi-square test confirmed the effectiveness of all nineteen identified competencies. Then, an exploratory factor analysis (EFA) was carried out on the data in order to identify the underlying dimensions. In addition, competencies were grouped into six categories, namely data management, information system/information technology (IS/IT) development, financial resources, relationship management, IS strategy and human capital policies. As a result, these competencies can be used as a measure to evaluate an organization’s status in holding some of the effective factors for BI success. <s> BIB016 </s> Successful business intelligence implementation: a systematic literature review <s> Data sources systems <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> BIB017 </s> Successful business intelligence implementation: a systematic literature review <s> Data sources systems <s> Though many organizations have turned to developing and using business intelligence systems, not all have been successful in implementing such systems. These systems have social-technical dimensions with many elements and are very complicated. Numerous studies have been carried out on implementation and employment of business intelligence, but in the past studies only specific aspects and dimensions have been addressed. The aim of this study is to identify key factors in the implementation process of business intelligence in the Iranian banking industry. The present research is objectively applied as a survey study in implementation strategy. Also it is a descriptive study in terms of the research plan and data collection where two documentary and field study methods have been used for collecting data. The statistical population of this study comprises experts and professionals in information technology who are active in implementing solutions for business intelligence in the banking industry of Iran. In this study, 16 people were chosen based on non-random judgment sampling combined with targeted and snowball sampling as a statistical sample and their viewpoints were extracted and refined using the Fuzzy Delphi Technique. First through studying past research records and reviewing literature of effective factors in implementing business intelligence process, 37 factors were identified. Then by implementing five rounds of the Fuzzy Delphi Technique, 39 factors were confirmed as significant among 37 factors affecting the business intelligence implementation process in past studies and 10 factors proposed by experts. Also, these 39 factors were classified in nine main groups including organizational, human, data quality, environmental, system ability, strategic, service quality, technical infrastructure, and managerial factors. Managers and executives of business intelligence projects in Iran's banking industry can achieve the given objectives and results by considering such significant factors in planning and taking measures related to effective implementation of business intelligence. <s> BIB018 </s> Successful business intelligence implementation: a systematic literature review <s> Data sources systems <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> BIB019 </s> Successful business intelligence implementation: a systematic literature review <s> Data sources systems <s> This study develops and tests a research model of BI value creation.The model incorporates both general-IT and specific-BI value creation mechanisms.We initially assess the model with qualitative data collected in three organizations.We then test the hypotheses with cross-sectional data collected from managers.The findings demonstrate the value creation processes unique to BI resources. With the aim of bridging the gap between well-established research on information technology (IT) value creation and the emergent study of business intelligence (BI), this study develops and tests a model of BI value creation that is firmly anchored in both streams of research. The analysis draws on the resource-based view and on conceptualizations of organizational learning to hypothesize about the paths by which BI assets and BI capabilities create business value. The research model is first assessed in an exploratory analysis of data collected through interviews in three firms and then tested in a confirmatory analysis of data collected through a survey. <s> BIB020
Data sources may be defined as places where data employed in analysis is kept and from where it is drawn for use  . Data sources employed for retrieval of information are technological BI capabilities that may be either external or internal  . Conventionally, there has been a reliance of BI upon data that are numerical and/or structured, that is, measurable upon a numerical scale which may be analysed through the use of methods of statistics and/or the use of computing equipment BIB004 . It was summarised by  that the assurance of the integrity and quality of data from the systems from which it is sourced impacts heavily upon BI implementation success. Numerous studies support this idea and show that sources of data positively and directly affect the success of implementation of BI BIB001  BIB005 BIB006 BIB007 BIB008 BIB009  BIB010 BIB011  BIB012 BIB013 BIB014 BIB015 BIB016 BIB017 BIB018 . Organisational resources As BIB003 noted, the term "organisational resources" refers to the degree of technical, financial and human resources within an organisation. It was explained by BIB011 that BI systems tend to involve a greater degree of voluntary action which leads to greater sensitivity for the availability of resources and can be a significant aspect for the adoption of systems for BI. For BIB019 , enhancement of the resources of an organisation may influence the implementation of BI systems. Numerous studies have, in fact, supported that idea; see, for example, Wixom and Watson (2001) (2016),  and BIB018 , which help to show the direct and positive impacts that organisational resources have upon the success of a BI system overall. IT infrastructure IT infrastructure relates to the ability for users to be provided with information and data to suitable levels of reliability, timeliness, accuracy, confidentiality and security, as well as capability for tailoring processes to emergent business directions and needs and provision of universal access and connectivity with enough range and reach BIB020 . BI systems have a number of characteristics in common with traditional development lifecycles for IT projects with their various phases BIB002 . Implementation of systems for BI does not solely entail the buying of combinations of hardware and software but rather it is an undertaking that has greater complexity with requirement for suitable resources and infrastructure over longer time periods BIB007 . It has been noted by many authors that IT infrastructure impacts directly upon BI implementation success, for example, Arnott (2008) 