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Data Warehouse Projects: Increasing Awareness for Assumptions and Complexity from the Perspectives of Business and IT
Abstract
Data warehouse research quickly gained momentum in the mid 1990s after conceptual foundations have been laid and rapid advancements in database technology made the management of large amounts of data possible. Since that time, many technical solutions for various aspects of data warehouse development projects have been proposed. However, to this day, this area of research appears to be firmly nested within technical departments, with the role of business often being neglected or relegated to simple assumptions. In this paper, we argue that there is a need for broadening the scope in order to include both the busines and IT aspects in these long running projects. This more holistic approach should potentially increase the chances of project success. Assuming such an approach, we briefly outline the stages required in data warehouse projects and the necessity for communication at the different stages. We argue that continuous absence of communication between business and IT significantly decreases the chances for data warehousing success by providing examples and motivation for mandatory alignment processes at certain vital stages in such projects.
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