Enterprise knowledge management: the data quality approach

Preface Chapter 1 - Introduction Chapter 2 - Who Owns Information? Chapter 3 - Data Quality in Practice Chapter 4 - Economic Framework of Data Quality and the Value Proposition Chapter 5 - Dimensions of Data Quality Chapter 6 - Statistical Process Control and the Improvement Cycle Chapter 7 - Domains, Mappings, and Enterprise Reference Data Chapter 8 - Data Quality Assertions and Business Rules Chapter 9 - Measurement and Current State Assessment Chapter 10 - Data Quality Requirements Chapter 11 - Metadata, Guidelines, and Policy Chapter 12 - Rule-Based Data Quality Chapter 13 - Metadata and Rule Discovery Chapter 14 - Data Cleansing Chapter 15 - Root Cause Analysis and Supplier Management Chapter 16 - Data Enrichment/Enhancement Chapter 17 - Data Quality and Business Rules in Practice Chapter 18 - Building the Data Quality Practice