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Rapid Recall 01–31

Answer each in about 60 seconds from memory.

  1. Define Data Quality in the chapter’s shortest useful form.
  2. Define Data Quality Management.
  3. Why is Data Quality contextual?
  4. Why is Data Quality Management a function rather than a project?
  5. Name the four business drivers.
  6. Name the four chapter goals.
  7. Name the eight principles.
  8. What does Criticality mean?
  9. What does Standards-driven mean?
  10. What does Objective measurement and transparency require?
  11. Prevention vs correction?
  12. What does Root cause remediation require?
  13. Who is responsible for quality produced by business processes?
  14. What does Systematically enforced mean?
  15. How are service levels connected to DQ?
  16. Define Critical Data Element.
  17. List common drivers of criticality.
  18. Why are Master and Reference Data usually critical?
  19. Define a Data Quality dimension.
  20. Name the nine common dimensions.
  21. Define Validity.
  22. Define Completeness.
  23. Define Consistency.
  24. Define Integrity.
  25. Define Timeliness.
  26. Define Currency.
  27. Define Reasonableness.
  28. Define Uniqueness.
  29. Define Accuracy.
  30. Validity vs Accuracy?
  31. Timeliness vs Currency?

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