Multi-Domain Master Data Management : Advanced MDM and Data Governance in Practice

個数:1
紙書籍版価格
¥10,408
  • 電子書籍
  • ポイントキャンペーン

Multi-Domain Master Data Management : Advanced MDM and Data Governance in Practice

  • 著者名:Allen, Mark/Cervo, Dalton
  • 価格 ¥6,717 (本体¥6,107)
  • Morgan Kaufmann(2015/03/21発売)
  • 夏休みの締めくくり!Kinoppy 電子書籍・電子洋書 全点ポイント30倍キャンペーン(~8/24)
  • ポイント 1,830pt (実際に付与されるポイントはご注文内容確認画面でご確認下さい)
  • 言語:ENG
  • ISBN:9780128008355
  • eISBN:9780128011478

ファイル: /

Description

Multi-Domain Master Data Management delivers practical guidance and specific instruction to help guide planners and practitioners through the challenges of a multi-domain master data management (MDM) implementation. Authors Mark Allen and Dalton Cervo bring their expertise to you in the only reference you need to help your organization take master data management to the next level by incorporating it across multiple domains. Written in a business friendly style with sufficient program planning guidance, this book covers a comprehensive set of topics and advanced strategies centered on the key MDM disciplines of Data Governance, Data Stewardship, Data Quality Management, Metadata Management, and Data Integration.- Provides a logical order toward planning, implementation, and ongoing management of multi-domain MDM from a program manager and data steward perspective.- Provides detailed guidance, examples and illustrations for MDM practitioners to apply these insights to their strategies, plans, and processes.- Covers advanced MDM strategy and instruction aimed at improving data quality management, lowering data maintenance costs, and reducing corporate risks by applying consistent enterprise-wide practices for the management and control of master data.

Table of Contents

1. Strategy, Scope, and Approach2. Defining and Prioritizing Master Data3. Architecture and Technology Considerations4. Program Management Office Implementation5. Defining a Cross-Domain Maturity Model6. Establishing Multi-Domain Data Governance7. Data Stewardship8. Data Integration9. Data Quality Management10. Metadata Management11. Performance Measurement12. Continuous Improvement

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