Across
- 2. Unnecessary duplication of data
- 5. The extent to which data measures what it is supposed to
- 8. Applying data insights for decision-making or visualization
- 11. How different phases of the lifecycle influence each other
- 12. Checking data against rules or constraints
- 13. Repeating a process to refine or improve results
- 14. The overall condition or fitness of data for its intended use
- 15. Transforming raw data into usable formats
- 17. Coordinated control of data throughout its lifecycle
Down
- 1. The degree to which data correctly reflects the real-world values
- 2. Consistency of data over time and across systems
- 3. Confirming that data is correctly entered and processed
- 4. The act of collecting or ingesting data
- 6. Ensuring data is accurate, reliable, and trustworthy
- 7. Availability of data when it is needed
- 9. The sequence of stages data goes through from creation to disposal
- 10. Saving data in physical or cloud-based systems
- 16. Examining data to extract insights