TY  - BOOK
AU  - Loshin,David
TI  - Enterprise knowledge management: the data quality approach 
SN  - 0124558402
AV  - HD30.2. L67 2001
U1  - 658.4038 
PY  - 2001///]
CY  - San Diego
PB  - Morgan Kaufmann
KW  - Database management
KW  - Knowledge management
KW  - Industrial management
KW  - Data processing
KW  - Business enterprises
KW  - Management
N1  - Includes bibliographical references (page 494) and index; 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
ER  -