Data warehouses are complex systems that have to deliver highly-aggregated data from heterogeneous sources to decision makers. It is essential that we can assure the quality data warehouse in terms of data as well as the services provided by it. Therefore, we should use methods, models, techniques and tools to help us in designing and maintaining high quality DWs. In this paper we outline a general methodological framework for the quality of data warehouse systems, adapting the Goal-Decision-Information approach. This model considers the quality of conceptual models to reach at specific decisions in data warehousing environment.
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