Organizations are spending millions each year on data warehouse development, but the majority of the efforts fail [6], and little is understood about why these failures occur or how to prevent them.
Most previous recommendations for data warehouse applications have suggested one-dimensional approaches.
By considering the interaction of the contextual and technical dimensions (the human factors and the specifics of the technology design), the previous results become less contradictory.
For example, conventional wisdom holds that having a management champion with a tightly focused (data mart) design and restrictive tools will lead to success.