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Data Warehousing Requirements Collection and Definition: Analysis of a Failure

Data Warehousing Requirements Collection and Definition: Analysis of a Failure
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Author(s): Nenad Jukic (Loyola University Chicago, USA) and Miguel Velasco (University of Minnesota, USA)
Copyright: 2010
Volume: 1
Issue: 3
Pages: 11
Source title: International Journal of Business Intelligence Research (IJBIR)
Editor(s)-in-Chief: Ana Azevedo (CEOS.PP, ISCAP, Polytechnic of Porto, Portugal)
DOI: 10.4018/jbir.2010070105

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Abstract

Defining data warehouse requirements is widely recognized as one of the most important steps in the larger data warehouse system development process. This paper examines the potential risks and pitfalls within the data warehouse requirement collection and definition process. A real scenario of a large-scale data warehouse implementation is given, and details of this project, which ultimately failed due to inadequate requirement collection and definition process, are described. The presented case underscores and illustrates the impact of the requirement collection and definition process on the data warehouse implementation, while the case is analyzed within the context of the existing approaches, methodologies, and best practices for prevention and avoidance of typical data warehouse requirement errors and oversights.

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