Quality-based framework for requirement analysis in data warehouse

Data warehouse (DW) integrates data from external and internal sources not only for storage purposes but also for analythical query processing. As this information is to be used for business intelligent, it makes the design of DW difficult task. Requirements analysis is the foundation for the development of a DW. Ensuring quality in requirements analysis is an importance task to minimize the risk of failure in a DW project. However, quality issues in DW requirements analysis have not given much attention in the literature. In this paper we have advocated the integration of quality and multi-driven approach (goal-driven, user-driven, data-driven, process-driven and external-driven) as an explicit stage in the DW development to reduce failure risk of DW.