Section 1 Data in today's organizations 1. The importance of data quality management 2. Organizational data and the five challenges of managing data quality 3. Data quality and strategy
Section 2 The five challenges in depth 4. The data challenge: the mechanics of meaning 5. The process challenge: managing for quality 6. The technical challenge: data/technology balance 7. The people challenge: building data literacy 8. The culture challenge: organizational accountability for data
Section 3 Data quality management practices 9. Core data quality management capabilities 10. Dimensions of data quality 11. Data life cycle processes 12. Tying It Together