Enterprise knowledge management : the data quality approach / David Loshin.
Material type: TextPublisher: San Diego : Morgan Kaufmann, [2001]Copyright date: ©2001Description: xviii, 493 pages, 1 unnumbered pages : illustrations ; 24 cmContent type:- text
- unmediated
- volume
- 0124558402
- 9780124558403
- 658.4038
- HD30.2. L67 2001
Item type | Current library | Call number | Copy number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|
Book | City Campus City Campus Main Collection | 658.4038 LOS (Browse shelf(Opens below)) | 1 | Available | A410423B |
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.
Machine converted from AACR2 source record.
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