In my October 2001 column, "One Size Does Not Fit All," I wrote about the key steps for rescuing a data warehouse that had gone awry – from taking a closer look at ETL tools/processes to the reevaluation of business requirements and organizational processes. This month I’m going to address data warehouse optimization or what I call "reviving the lazy data warehouse."

Recognizing a lazy data warehouse can be difficult. In fact, one key characteristic is that there’s nothing obviously wrong with it. It’s probably doing what it needs to do (loading data, reporting on errors, generating reports). What’s wrong? The business is not seeing any value from it.

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