Data Warehouse Life Cycle: Quality Issues.

Nikhil Govil, Kapil Govil.

Abstract

Data Warehouse is a collection of methods, techniques, & tools used to support knowledge workers such as managers, directors & analysts; to conduct data analyses that help with performing decision – making processes & improving information resources. In fact, 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 different & relevant methods, models, techniques and tools to help us in designing and maintaining high quality data warehouses. This paper represents an extended review of the existing literature on quality issues field as well as the related open research issues.



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