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A Methodology Supporting the Design and Evaluating the Final Quality of Data Warehouses

A Methodology Supporting the Design and Evaluating the Final Quality of Data Warehouses
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Author(s): Maurizio Pighin (University of Udine, Italy) and Lucio Ieronutti (University of Udine, Italy)
Copyright: 2009
Pages: 22
Source title: Database Technologies: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): John Erickson (University of Nebraska, Omaha, USA)
DOI: 10.4018/978-1-60566-058-5.ch037

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Abstract

The design and configuration of a data warehouse can be difficult tasks especially in the case of very large databases and in the presence of redundant information. In particular, the choice of which attributes have to be considered as dimensions and measures can be not trivial and it can heavily influence the effectiveness of the final system. In this article, we propose a methodology targeted at supporting the design and deriving information on the total quality of the final data warehouse. We tested our proposal on three real-word commercial ERP databases.

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