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. But the requirements and the environment of data warehouse systems is dynamic in nature. To handle these changes efficiently, data warehouses depend largely on the meta databases. In this paper, the proposal is to extend the Goal-Decision-Information approach to model the quality of the data warehouse. In order to fulfill the specific quality goals, dependencies among the various quality factors is exploited in this model.