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Although much progress has been made to plan and execute Software Development projects in an agile manner, Data Warehouse or Business Intelligence projects seem to still execute in a more traditional manner. Data Warehouse projects are quite different than Software Development projects and need a set of Agile practices that are distinctly their own. This paper is an account of Data Warehouse redevelopment project at a major Health Benefits provider and a walkthrough of the Agile Data Warehouse practices that were used; both successfully and unsuccessfully. The intent is to share the practices developed and used on the project so they can be evaluated and used by other projects.