Metrics for data warehouse quality

Abstract

Information in organizations is managed efficiently by adopting data warehouses. Organizations are using data warehouses for integrating data from various heterogeneous sources in order to do analysis and make decision. Data warehouse quality is crucial because lack of quality in data warehouse may lead to rejection of the decision support system or may result in non-productive decision. A set of metrics have been defined and validated to measure the quality of the conceptual data model for data warehouse. In this paper, we first summarize the set of metrics for measuring the understand ability of conceptual data model for data warehouses. We focus on providing empirical validation by the family of experiments performed by us. The whole empirical work showed us that the subset of proposed metrics can be used as an indicator of conceptual model of data warehouses.