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Enterprise Knowledge Management:The Data Quality Approach (The Morgan Kaufmann Series in Data Management Systems) '01

Loshin, David 　著

絶版
価格 \23,435（税込）

発行年月	2001年01月
出版社／提供元	Morgan Kaufmann Publishers
出版国	アメリカ合衆国
言語	英語
媒体	冊子
装丁	hardcover
ページ数／巻数	512 p.
ジャンル	洋書／理工学／情報科学／ソフトウェア
ISBN	9780124558403
商品コード	0200002011
本の性格	実務向け
商品URL	https://kw.maruzen.co.jp/ims/itemDetail.html?itmCd=0200002011

内容

Presents an easily adaptable methodology for defining, measuring, andimproving data quality. Written for both a managerial and a technicalaudience, this book is of interest to the growing number of companiescommitted to wresting every possible advantage from their vast stores ofbusiness information.

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