Measuring data quality for ongoing improvement : a data quality assessment framework
Shows you how to measure and monitor data quality, ensuring quality over time. This title demonstrates how to leverage a technology independent data quality measurement framework for specific business priorities and data quality challenges. It enables discussions between business and IT with a non-t...
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Waltham, Massachusetts :
Morgan Kaufmann ,
c2013
|
| Subjects: |
Table of Contents:
- 1. Data
- 2. Data, people, and systems
- 3. Data management, models, and metadata
- 4. Data quality and measurement
- 5. DQAF concepts
- 6. DQAF measurement types
- 7. Initial data assessment
- 8. Assessment in data quality improvement projects
- 9. Ongoing measurement
- 10. Requirements, risk, criticality
- 11. Asking questions
- 12. Data quality strategy
- 13. Directives for data quality strategy
- 14. Functions of measurement: collection, calculation, comparison
- 15. Features of the DQAF measurement logical model
- 16. Facets of the DQAF measurement types