Data warehouse design

Towards a Metric Suite for Conceptual Models of Datawarehouse

Manuel Serrano, Coral Calero, Juan Trujillo, Sergio Luján-Mora, Mario Piattini. Proceedings of the 1st International Workshop on Software Audit and Metrics (SAM'04), p. 105-117, Porto (Portugal), April 14-17 2004. ISBN: 972-8865-04-X. https://doi.org/10.5220/0002675201050117


Abstract

Nowadays most organizations have incorporated datawarehouses as one of their principal assets for the efficient management of information. It is vital to be able to guarantee the quality of the information that is stored in the datawarehouses given that they have become the principal tool for strategic decision making. The quality of the information depends on the quality of its presentation and the quality of the datawarehouse. The latter includes the quality of the multidimensional model, at a conceptual, logical, and physical level. Over recent years we have proposed and validated several metrics for the evaluation of the complexity of the multidimensional star model (at a logical level). In this article we present an initial proposal of metrics for the multidimensional model at a conceptual level and for their theoretical validation.

Keywords: Datawarehouse, metrics, quality, multidimensional modelling

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