| Description |
1 online resource (xxv, 274 pages) : illustrations |
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text txt rdacontent |
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computer c rdamedia |
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online resource cr rdacarrier |
| 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 |
| Contents |
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. |
| Bibliography |
Includes bibliographical references (page 259) and index. |
| Contents |
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. |
| Note |
Print version record. |
| Subject |
Management information systems.
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Database management.
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Data warehousing.
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Business intelligence.
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Management Information Systems |
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Systèmes d'information de gestion.
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Bases de données -- Gestion.
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Entrepôts de données (Informatique)
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COMPUTERS -- Management Information Systems.
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Management information systems.
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Database management.
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Data warehousing.
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Business intelligence.
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Business intelligence
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Data warehousing
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Database management
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Management information systems
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| Other Form: |
Print version: Loshin, David, 1963- Master data management. Amsterdam ; Boston : Elsevier/Morgan Kaufmann, ©2009 9780123742254 0123742250 (DLC) 2008034235 (OCoLC)228364723 |
| ISBN |
9780123742254 |
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0123742250 |
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9780080921211 (electronic bk.) |
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0080921213 (electronic bk.) |
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1282285505 |
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9781282285507 |
| Standard No. |
AU@ 000045268193 |
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AU@ 000048827625 |
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AU@ 000055633514 |
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CDX 10799032 |
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CHBIS 006041480 |
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CHNEW 001009053 |
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CHVBK 19962559X |
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CHVBK 519230795 |
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DEBBG BV039828811 |
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DEBBG BV042305302 |
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DEBSZ 355395258 |
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DEBSZ 367750546 |
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DEBSZ 430670893 |
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DKDLA 820120-katalog:9910110415305765 |
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HEBIS 291468489 |
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NZ1 15189194 |
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