Sponsored by QOSQO / quipu.
Offering three principles and practices by which business can support data warehouse automation projects.
Building and maintaining data warehouses have long challenged organizations, both large and small. These difficulties have often delayed or destroyed much needed implementations, especially in small and medium enterprises. Data warehouse automation—systems and methods—promise to ease these challenges. However, business buy-in and commitment is mandatory.
This paper describes three principles and practices by which business can support data warehouse automation projects. They are: diversity over disparity, collaboration over control, and agility over anarchy. Together, these approaches offer enable the creation of a “biz-tech ecosystem” where business and IT become true partners in the provision of data for business management.
Examples from four companies across very different industries show how these principles have been applied to deliver real results in initial implementation and ongoing evolution. In short, they allow IT and business to collaborate in a biz-tech ecosystem so that IT can deliver and maintain business intelligence solutions with the speed, agility and elegance required by modern business users.
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