A major bank scrapped a $29 million data warehouse to start from scratch because they failed to understand and avoid the mistakes described in this column. This is a tragedy because three years ago, they were warned that their data warehouse plan was flawed. However, the real tragedy is the lost opportunity caused by the nonquality data in the warehouse.
This column contains two of the "Ten Mistakes to Avoid If Your Data Warehouse Is To Deliver Quality Information." (A white paper of the same title is now available at www.infoimpact.com.)
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