Enterprise knowledge management : the data quality approach /
Loshin, David, 1963-
Enterprise knowledge management : the data quality approach / David Loshin. - xviii, 493 pages, 1 unnumbered pages : illustrations ; 24 cm
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.
0124558402 9780124558403
00112074
Database management
Knowledge management.
Industrial management--Data processing
Business enterprises--Data processing--Management.
HD30.2. / L67 2001
658.4038
Enterprise knowledge management : the data quality approach / David Loshin. - xviii, 493 pages, 1 unnumbered pages : illustrations ; 24 cm
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.
0124558402 9780124558403
00112074
Database management
Knowledge management.
Industrial management--Data processing
Business enterprises--Data processing--Management.
HD30.2. / L67 2001
658.4038