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Csf for Business Intelligence

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CRITICAL SUCCESS FACTORS FOR BUSINESS INTELLIGENCE SYSTEMS
WILLIAM YEOH University of South Australia SA 5095 Australia ANDY KORONIOS University of South Australia SA 5095 Australia

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. Keywords: Business intelligence system, Critical success factors, Delphi method, Case study INTRODUCTION Recently Business Intelligence (BI) applications have been dominating the technology priority list of many CIOs [11, 12]. According to Reinschmidt and Francoise [22], a BI system is “an integrated set of tools, technologies and programmed products that are used to collect, integrate, analyse and make data available”. Stated simply, the main tasks of a BI system include “intelligent exploration, integration, aggregation and a multidimensional analysis of data originating from various information resources” [21]. Implicit in this definition, data is treated as a highly valuable corporate

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