Data warehouses play a crucial role in the success of a business intelligence (BI) program. However, through 2007, more than 50 percent of data warehouse projects will have limited acceptance, or will be outright failures, as a result of a lack of attention to data quality issues, according to Gartner, Inc.

"Many enterprises fail to recognize that they have an issue with data quality.  They focus only on identifying, extracting and loading data to the data warehouse, but do not take the time to assess quality," said Ted Friedman, principal analyst at Gartner. "Consistency and accuracy of data is critical to success with BI, and data quality must be viewed as a business issue and responsibility, not just an IT problem."

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