Abstract
Quality of data warehouse is very crucial for managerial strategic decisions. Multidimensional data modeling has been accepted as a basis for data warehouse, thus data model quality has a great impact on overall quality of data warehouse. Metrics act as a tool to measure the quality of data warehouse model. Various authors have proposed metrics to assess the quality attributes of conceptual data models for data warehouse such as understandability, maintainability etc. All the related research work inspires us to investigate the metrics proposed to measure data warehouse data model quality, the various quality factors assessed and to provide a ground work for research advancement in this field. A total of 22 studies were selected and analyzed to identify the various validation techniques used to prove usage and practical utility of metrics and the quality factors measured by these metrics. Opportunities for future work lie in the gaps that were found in the validation of the metrics and the lack of quality factors measured.
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