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Master data management

Loshin, David, (1963-)

Master data management

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Master data managementDavid Loshin.
作者:	Loshin, David,
出版者:	Amsterdam ;Elsevier/Morgan Kaufmann,c2009.
面頁冊數:	xxv, 274 p. :ill. ;24 cm.
標題:	Management information systems.
電子資源:	An electronic book accessible through the World Wide Web; click for information
電子資源:	http://www.engineeringvillage.com/controller/servlet/OpenURL?genre=book&isbn=9780123742254
ISBN:	9780123742254

Master data management
Loshin, David,1963-

Master data management[electronic resource] /David Loshin. - Amsterdam ;Elsevier/Morgan Kaufmann,c2009. - xxv, 274 p. :ill. ;24 cm.

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.

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.

Electronic reproduction.
Amsterdam :
Elsevier Science & Technology,
2009.

Mode of access: World Wide Web.

ISBN: 9780123742254

Source: 141968:142114Elsevier Science & Technologyhttp://www.sciencedirect.comSubjects--Topical Terms:

199355
Management information systems.
Index Terms--Genre/Form:

214472
Electronic books.

LC Class. No.: T58.6 / .L669 2009

Dewey Class. No.: 658.4/038011

Master data management
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504 $a Includes bibliographical references (p.259) and index.
505 0 $a 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.
505 0 $a 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.
520 $a 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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