Business Intelligence in the Digital Economy: Opportunities, by Mahesh Raisinghani

By Mahesh Raisinghani

Company Intelligence within the electronic economic climate: possibilities, boundaries and hazards describes what company Intelligence (BI) is, the way it is being performed and controlled and its significant possibilities, obstacles, matters and hazards. This e-book takes an in-depth examine the scope of worldwide technological switch and BI. in this transition to BI, info doesn't purely upload potency to the transaction; it provides price. businesses which are in a position to leverage the rate and ubiquity of electronic communications are going to have the virtue over those people who are late-adopters within the future years. The publication brings jointly prime quality expository discussions from specialists during this box to spot, outline, and discover BI methodologies, platforms, and techniques to be able to comprehend the possibilities, obstacles and hazards.

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For example, the investigation of personal banking services may reveal a range of possible alternative services, each satisfying different dimensions of the consumer’s needs. Equally, the components themselves may identify new sources of risk or make the scale of already identified risks more evident. This process of searching for solutions will generate more options and simultaneously more risks, thus making the decision process potentially more complex. For this very reason we might expect the decision maker to limit or constrain this search process to limit the options for consideration, to leave uncovered certain risks, and to keep the decision model less complex.

Intelligent Agents for Competitive Advantage 25 Chapter II Intelligent Agents for Competitive Advantage: Requirements and Issues Mahesh Raisinghani, University of Dallas, USA John H. ” - F. Scott Fitzgerald ABSTRACT This chapter presents a high-level model for employing intelligent agents in business management processes, much like has been successfully accomplished in complex telecommunications networks, in order to gain competitive advantage by timely, rapidly, and effectively using key, unfiltered measurements to improve cycle-time decision making.

Intelligent agents: Where AI meets information technology. IEEE Expert, 11(6), 20-23. Lederer, A. , & Sims, K. (1998). Using WISs to enhance competitiveness. Communications of the ACM, (41)7, 94-95. Maes, P. (1994). Agents that reduce work and information overload. Communications of the ACM, 37(7), 30-40. , & Guttmann, R. (1998). Agent-mediated electronic commerce: Issues, challenges and some viewpoints. Proceedings of the 2nd International Conference on Autonomous Agents, Minneapolis, Minnesota (May 9-13, pp.

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