A large number of data warehouse projects dont live up to their potential. Data warehouse technology has been around for a long time. It is mature and founded on strong principles. The approaches are well-structured, cover a wide variety of situations and have worked well for a fairly large number of projects. Additionally, project management processes, tools and technologies are mature and well established. So the question arises, why do DW projects fail? The answer lies in the founding perceptions of a DW project. Do we treat these projects as development projects, or should they be treated as a work of art? However, if treated as a creation, it brings forth the zeal and the passion required for it to take shape. Let me list some prerequisites that need to be kept in mind for the successful execution of highly complex DW projects.
The science, process and tool are the hygiene factors. They are well established, necessary and presumed. This article looks beyond them and stirs the soul of DW initiatives. Heres to a successful implementation.
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