Master data management [electronic resource]

• 作者： Loshin, David, 1963-
• 其他作者：
  • ScienceDirect (Online service)
• 出版： Amsterdam ;Boston : Elsevier/Morgan Kaufmann
• 主題： Management information systems , Database management , Data warehousing , Business intelligence , Electronic books.
• ISBN： 9780123742254 、 0123742250
• FIND@SFXID: CGU
• 資料類型: 電子書
• 內容註: Includes bibliographical references (p.259) and index. Chapter 1) Introduction: Master Data and Master Data Management -- Chapter 2) Business Process Models, Stakeholders, and Participant Coordination -- Chapter 3) MDM Maturity and the Implementation Roadmap -- Chapter 4) Enterprise Data Governance -- Chapter 5) The Value of Data Quality -- Chapter 6) Data Standards and Metadata Management -- Chapter 7) Identifying Master Data -- Chapter 8) Data Modeling Issues for MDM -- Chapter 9) MDM Paradigms and Architectures -- Chapter 10) Data Consolidation and Integration -- Chapter 11) Master Data Synchronization - -- Chapter 12) The Functional Application Services Layer -- Chapter 13) Management Guidelines and Summary. Master data and master data management -- Coordination, stakeholders, requirements, and planning -- Components and the maturity model -- Data governance for master data management -- Data quality and MDM -- Metadata management for MDM -- Identifying master metadata and master data -- Data modeling for MDM -- Paradigms and architectures -- Data consolidation and integration -- Master data synchronization -- And the functional services layer -- Management guidance for MDM.
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• 摘要註: The key to a successful MDM initiative isn't technology or methods, it's people: the stakeholders in the organization and their complex ownership of the data that the initiative will affect. Master Data Management equips you with a deeply practical, business-focused way of thinking about MDM-an understanding that will greatly enhance your ability to communicate with stakeholders and win their support. Moreover, it will help you deserve their support: you'll master all the details involved in planning and executing an MDM project that leads to measurable improvements in business productivity and effectiveness. * Presents a comprehensive roadmap that you can adapt to any MDM project. * Emphasizes the critical goal of maintaining and improving data quality. * Provides guidelines for determining which data to "master." * Examines special issues relating to master data metadata. * Considers a range of MDM architectural styles. * Covers the synchronization of master data across the application infrastructure.
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