Data Quality & Data Integration
Source: Pitney Bowes Software
Data Quality Management Incorporates a "Virtuous Cycle" in Which Continuous Analysis, Observation, and Improvement Lead to Overall Improvement in the Quality of Organizational Information Across the Board. the Results of Each Iteration Can Improve the Value of an Organizations Data Asset and the Ways That Data Asset Supports the Achievement of Business Objectives, by Enabling Repeatable Processes for Managing the Observance of Data Quality Expectations, These Practices Provide a Solid Foundation for Enterprise Data Quality Management. This Paper Describes These Practices and Then Looks at the Core Data Services Upon Which These Practices Rely. Each Section Will Provide an Overview of the Practice and Review Processes.
| Format: | Size: | 1484.30 | |
| Date: | Jan 2010 |
People who downloaded this item also downloaded
- HP Power Advisor White Paper
- Selling in the Age of Social Media
- Reducing Costs with Efficient Operations: A Fast Track to More Working Capital
- Oracle Database 11g Product Family
- Data Quality Strategy: A Step-by-Step Approach



