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

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