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Proceedings of the 38th Annual Hawaii International Conference on System Sciences (HICSS'05) - Track 8
Big Island, Hawaii
January 03-January 06
ISBN: 0-7695-2268-8
Daniel S. Soper, Arizona State University
This paper proposes a contemporary architecture to guide the development of Automated Web Business Intelligence (AWBI) systems. AWBI systems are outcome-oriented software applications that utilize automated processes in order to extract actionable organizational knowledge by leveraging the content of the web. The goal of an organization in implementing an AWBI system is to gain competitive advantage by utilizing information garnered from web sources to inform corporate decision making. Although more and more organizations are using AWBI systems to gain competitive advantage, the fact remains that most companies have not yet introduced an AWBI initiative as part of their overall decision support strategy. To that end, a solid framework by which organizations can implement AWBI systems is both timely and desirable. This paper presents such a framework, and in so doing outlines a feasible approach by which organizations can adopt AWBI systems in support of their strategic decision making processes.
Citation:
Daniel S. Soper, "A Framework for Automated Web Business Intelligence Systems," hicss, vol. 8, pp.217a, Proceedings of the 38th Annual Hawaii International Conference on System Sciences (HICSS'05) - Track 8, 2005
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