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- Data quality and data integration tools are standardized across the organization
- All aspects of the organization use standard business rules created and maintained by designated data stewards for core data sets.
- Data is continuously inspected – and any deviations from standards are resolved immediately. Ongoing data monitoring helps the campus maintain data integrity
- Data models capture the business meaning and technical details of common data elements
- A data stewardship group maintains common data definitions and business rules
- Service-oriented architecture becomes the enterprise standard
- More real-time processing is available and data quality functionality is shared and reviewed across different operational solutions
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