Business Intelligence

Solomon Negash and Paul Gray
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Solomon Negash: Kennesaw State University
Paul Gray: Claremont Graduate University

Chapter 45 in Handbook on Decision Support Systems 2, 2008, pp 175-193 from Springer

Abstract: Abstract Business intelligence (BI) is a data-driven DSS that combines data gathering, data storage, and knowledge management with analysis to provide input to the decision process. The term originated in 1989; prior to that many of its characteristics were part of executive information systems. Business intelligence emphasizes analysis of large volumes of data about the firm and its operations. It includes competitive intelligence (monitoring competitors) as a subset. In computer-based environments, business intelligence uses a large database, typically stored in a data warehouse or data mart, as its source of information and as the basis for sophisticated analysis. Analyses ranges from simple reporting to slice-and-dice, drill down, answering ad hoc queries, real-time analysis, and forecasting. A large number of vendors provide analysis tools. Perhaps the most useful of these is the dashboard. Recent developments in BI include business performance measurement (BPM), business activity monitoring (BAM), and the expansion of BI from being a staff tool to being used by people throughout the organization (BI for the masses). In the long-term, BI techniques and findings will be imbedded into business processes.

Keywords: Business Process; Data Warehouse; Business Intelligence; Gross National Product; Business Intelligence System (search for similar items in EconPapers)
Date: 2008
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DOI: 10.1007/978-3-540-48716-6_9

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