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Title: | A Superficial Exposé of Data Warehousing: An Intrinsic Component of Modern Day Business Intelligence |
Authors: | Oyerinde, O.D. Adekunle, A. Y. Ebiesuwa, O.O. |
Keywords: | Operational Data Store Multi Dimensional Data Model |
Issue Date: | 2013 |
Publisher: | International Journal of Science and Research (IJSR) |
Citation: | , April 2013 |
Series/Report no.: | Vol. 2;Iss. 4; Pp 468-473 |
Abstract: | This paper aims to give a superficial exposé of Data Warehousing technology as a possible effective tool for organizations
Business Intelligence. The key components of a Data Warehouse will be discussed as they offer a part of the core requirements for
successful Business Intelligence deployment in an organization. Universally accepted Data Warehousing and Business Intelligence
Models will be discussed and highlighted in order to ascertain the effectiveness of Data Warehousing as a tool for efficient Business
Intelligence deployment. Traditionally, data warehouses are designed to collect and organize historical business data so it can be
properly analyzed to enable management make optimal business decisions. Effective Business Intelligence can help companies gain a
comprehensive understanding of the factors affecting their business, enabling them to make informed decisions for the competitive edge
(Gutierrez, 2007) |
URI: | http://hdl.handle.net/123456789/1922 |
ISSN: | 2319-7064 |
Appears in Collections: | Computer Science
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