For the success of Data Quality

Ok, we started a Data Quality project within the enterprise data - whatever form it is available in. Now, How do we make it a success?

Trillium, a Data Quality Software provider, tells this is how.

1. Establish measurable business goals
2. Align business and IT expectations
3. Confirm senior management buy in
4. Ensure that the business goals drive functionality
5. Understand the costs of building the solution in house
6. Commit trained personnel to your organization’s data quality issues
7. Understand the real costs and causes of poor data quality
8. Employ a proven methodology
9. Use a phased roll-out schedule
10. Track ROI

As it should be, it is more about the business, than about the technical solution!
Read the full article here. (requires registration)