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Master Data Management
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Artikel-Nr:
9780123742254
Veröffentl:
2008
Erscheinungsdatum:
01.09.2008
Seiten:
304
Autor:
David Loshin
Gewicht:
542 g
Format:
231x187x22 mm
Serie:
Mk/Omg Press
Sprache:
Englisch
Beschreibung:
David Loshin is President of Knowledge Integrity, Inc., a company specializing in data management consulting. The author of numerous books on performance computing and data management, including "Master Data Management" (2008) and "Business Intelligence - The Savvy Manager's Guide" (2003), and creator of courses and tutorials on all facets of data management best practices, David is often looked to for thought leadership in the information management industry.
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.
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.
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
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