7 1/2 X 9 1/4 in Preface
Chapter 1: Business Impacts of Poor Data Quality
Chapte r 2: The Organizational Data Quality Program
Chapter 3: Data Quality Maturity
Chapter 4: Enterprise Initiative Integration
Chapter 5: D eveloping a Business Case and a Data Quality Roadmap
Chapter 6: Metri cs and Performance Improvement
Chapter 7: Data Governance
Chapter 8: Dimensions of Data Quality
Chapter 9: Data Requirement Analysis
Chapter 10: Metadata and Data Standard
Chapter 11: Data Quality Asse ssment
Chapter 12: Remediation and Improvement Planning
Chapter 13 : Data Quality Service Level Agreements
Chapter 14: Data Profiling
Chapter 15: Parsing and Standardization
Chapter 16: Entity Identity Resolution
Chapter 17: Inspection, Monitoring, Auditing, and Tracking
Chapter 18: Data Enhancement
Chapter 19: Master Data Management a nd Data Quality
Chapter 20: Bringing It All Together
