Business Intelligence: Body of Knowledge

Business Intelligence: Body of Knowledge

Mouhib Alnoukari (Arab International University, Syria), Humam Alhammami Alhawasli (Arab Academy for Banking and Financial Sciences, Syria), Hatem Abd Alnafea (Arab Academy for Banking and Financial Sciences, Syria) and Amjad Jalal Zamreek (Arab Academy for Banking and Financial Sciences, Syria)
DOI: 10.4018/978-1-61350-050-7.ch001
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This chapter attempts to define the knowledge body of Business Intelligence. It provides an overview of the context we have been working in. The chapter starts with a historical overview of Business Intelligence stating its different stages and progressions. Then, the authors present an overview of what Business Intelligence is, its architecture and goals, and its main components including: data mining, data warehousing, and data marts. Finally, the Business Intelligence ‘marriage’ with knowledge management is discussed in details. The authors hope to contribute to the recent discussions about Business Intelligence goals, concepts, architecture, and components.
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Historical Overview

In his article “A Business Intelligence System.” Which have been published in IBM Journal, Luhn had defined intelligence as: “the ability to apprehend the interrelationships of presented facts in such a way as to guide action towards a desired goal.”, (Luhn, 1958).

Business Intelligence is considered as a result of Decision Support Systems progression (DSS). DSS was mainly evolved in the 1970s. Model-driven DSS was the first DSS models that use limited data and parameters to help decision makers analyzing a situation (Power, 2007).

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