Selecting a decision support tool that is appropriate for your company and users is never easy. The good news is that there is a plethora of powerful tools on the market. The bad news is that few of them do all the things that your users require. Case in point: a large regional retail bank with a 200+GB data warehouse is in the process of replacing an underpowered, overly complex query/reporting tool that has exasperated its base of 200 users, about half of which are power users. The bank, which has a centralized organizational structure and culture, would like to standardize on a single decision support tool so that individual departments are not tempted to purchase their own tools. The bank would like to select a tool that is powerful and flexible enough to satisfy all types of users in every department.

In going through the process of identifying and selecting an appropriate decision support tool, the bank has learned several lessons.

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