Rapid Recall 32–61
- Completeness vs Integrity?
- Consistency vs Uniqueness?
- Why is Accuracy often difficult to measure?
- What is a Business Rule in this context?
- What is a Data Quality Rule?
- Name four validity-rule types/examples.
- What do completeness rules express?
- What do consistency rules express?
- Give an integrity-rule example.
- Give a reasonableness-rule example.
- How is accuracy verified?
- What is the PDCA idea for DQ?
- Who leads Plan/Do and who has major responsibility in Check/Act?
- Name four triggers that restart the improvement cycle.
- Name the five common cause families.
- Give two oversight causes.
- Give three data-entry causes.
- Give three processing causes.
- Give three system-design causes.
- Why are manual data patches dangerous?
- Write the seven formal activities in order.
- What is the purpose of a DQ Framework?
- What happens in Define High Quality Data?
- Why may rules need to be reverse engineered?
- What happens in the Initial DQ Assessment?
- What can an initial assessment discover beyond errors?
- What three planning streams should findings support?
- How should potential improvements be prioritized?
- Quick hit vs strategic improvement?
- Why does DAMA prefer prevention?
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