Business intelligence is a set of theories, methodologies, architectures and technologies that transform raw data into meaningful and useful information for business purposes. BI as a discipline is made up of several related activities, including data mining, online ana
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Business intelligence is a set of theories, methodologies, architectures and technologies that transform raw data into meaningful and useful information for business purposes. BI as a discipline is made up of several related activities, including data mining, online analytical processing, querying and reporting. Companies use BI to improve decision making, cut costs and identify new business opportunities. BI is more than just corporate reporting and more than a set of tools to coax data out of enterprise systems. With today’s BI tools, business folks can jump in and start analyzing data themselves, rather than wait for IT to run complex reports. Evaluating the effectiveness of Business intelligence system is vital to our understanding of the value and efficacy of management actions and investments. This research aims to explain and clarify the inter-relationships and the interaction effects among business intelligence systems maturity and other relevant factors such as information access quality and information content quality. We developed a model of business intelligence systems maturity based on the outcomes of previous researches and semi-structured interviews with experts in information technology. To examine the model a descriptive survey was applied. The survey sample population consisted of 100 randomly taken managers and IT managers who apply Business intelligence system in their companies, according to a cluster random sampling skim. An important part of the results revealed business intelligence systems maturity relates directly with information quality and use of information in business process.
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