Successful business intelligence implementation: a systematic literature review <s> Vision <s> Health care institutions are considering a variety of information technologies in the hope of increasing efficiency, reducing cost, re-engineering work processes, and improving quality of care. When we talk about any information system implementation, we need to keep in mind that there are actually three phases to such a project: pre-implementation, implementation and post-implementation. The aim of our contribution is to present the realities of successful implementation and our experience with such project. <s> BIB001 </s> Successful business intelligence implementation: a systematic literature review <s> Vision <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> BIB002 </s> Successful business intelligence implementation: a systematic literature review <s> Vision <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> BIB003 </s> Successful business intelligence implementation: a systematic literature review <s> Vision <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> BIB004
Clear visions help organisations to strategise their missions. In addition, there is a requirement for organisational visions to be disseminated throughout the different organisational levels BIB001 . It was noted by Adamala and Cidrin (2011) that a system for BI has to be tied closely to the strategic vision of a company. A clear vision enables BI implementation to be successful. Furthermore, a vision that is long term, in terms that are primarily organisational and strategic, is essential for establishing a business that is robust and has alignment to the strategic vision in order for the needs and objectives of the business to be met BIB003 . Several studies have shown that the success of a BI system is greatly influenced by a vision that is clear; see, for example, Arnott (2008) (2016) and BIB004 . It was empirically shown by BIB002 that business needs and a vision that is clear impact significantly and positively upon the quality of system.