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Extra resources for Cases on Database Technologies And Applications (Cases on Information Technology Series) (Cases on Information Technology Series)
However, creating a data warehouse is not an easy task. A data warehouse implementation is extremely complex and takes a considerable about of time and resources to implement. Many data warehouse projects fail for one or more various reasons. A data warehouse is more of an environment than a product. ” is a relative one. Different organizations have different needs, as well as internal talent and existing infrastructures (knowledge, hardware and other intangibles). There exists no blueprint for a guaranteed successful implementation.
Seamless presentation of historical projected and derived data. A multi-user read/write environment to support what-if questions. The ability to be implemented quickly and adopted easily by the end users. Robust data access security and user management. Take over the functions of the executive information system. In the fall of 1996, initial meetings were held for a feasibility study on the data warehouse project. The scope and objectives of the project were laid out and debated. In January 1997, the project scope document was completed and presented to upper management for review and approval.
The initiatives were sales planning, micro-marketing, planogramming (a system that assists in decisions about the retail space and the specifics of store layouts by produces 3D representations of the store) and the development of an improved replenishment system, a data warehouse. The key ingredient of this data warehouse would be in its ability to provide information as needed to the end users, or its ability to provide “just-in-time” information for effective decision making. Specifically, a data warehouse implemented at VF must provide the following needed capabilities: Copyright © 2006, Idea Group Inc.