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Data quality      Print

Data quality requires building processes, procedures and disciplines for managing information, ensuring its integrity and accuracy, its completeness and its timeliness. The fundamental attributes supporting data quality should include:

  • Accuracy
  • Consistency
  • Completeness
  • Validity
  • Timeliness
  • Accessibility
  • Useability
  • Auditability

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