Master data management and data governance / Alex Berson y Larry Dubov.

Por:

Berson, Alex [autor]

Colaborador(es):

Dubov, Lawrence [autor]

Tipo de material: Texto

texto

Tipo de medio:

sin medio

Tipo de soporte:

volumen

ISBN:

9780071744584
9780071744591 (ebook)

Tema(s):

Clasificación CDD:

658.8/120285574 22

Clasificación LoC:

HF 5415 .5 B4835 2011

Contenidos:

Part I: Introduction to Master Data Management -- 1 Overview of Master Data Management -- Master Data Management (MDM) -- Master Data Management for Customer Domain: Customer Data Integration (CDI) -- Other MDM Variants: Products, Organizations, Hierarchies -- Introduction to MDM Classification Dimensions -- Key Benefits of Master Data Management -- References -- 2 MDM: Overview of Market Drivers and Key Challenges -- Market Growth and Adoption of MDM -- Business and Operational Drivers of MDM -- MDM Challenges -- References -- 3 MDM Applications by Industry -- Industry Views of MDM -- Commercial Sector -- Public Sector -- References -- Part II: Architectural Considerations -- 4 MDM Architecture Classifications, Concepts, Principles, and Components -- Architectural Definition of Master Data Management -- Evolution of Master Data Management Architecture -- MDM Architectural Philosophy and Key Architecture Principles -- MDM Architecture Viewpoints -- References -- 5 Data Management Concerns of MDM Architecture: Entities, Hierarchies, and Metadata -- Data Strategy -- Managing Data in the Data Hub -- References -- 6 MDM Services for Entity and Relationships Resolution and Hierarchy Management -- Architecting an MDM System for Entity Resolution -- MDM Architecture for Entity Resolution -- Aggregating Entity Information -- Data Hub Keys and Life-Cycle Management Services -- References -- 7 Master Data Modeling -- Importance of Data Modeling -- Predominant Data Modeling Styles -- MDM Data Modeling Requirements -- Data Modeling Styles and Their Support for Multidomain MDM -- References -- Part III: Data Security, Privacy, and Regulatory Compliance -- 8 Overview of Risk Management for Master Data -- Risk Taxonomy -- Regulatory Compliance Landscape -- Regulatory Compliance Requirements and Their Impact on MDM IT Infrastructure -- Key Information Security Risks and Regulatory Concerns -- Key Technical Implications of Data Security and Privacy Regulations on MDM Architecture -- References -- 9 Introduction to Information Security and Identity Management -- Traditional and Emerging Concerns of Information Security -- Overview of Security Technologies -- Integrating Authentication and Authorization -- Web Services Security Concerns -- Putting It All Together -- References -- 10 Protecting Content for Secure Master Data Management -- Data Security Evolution -- Data Security Overview -- Enterprise Rights Management -- References -- 11 Enterprise Security and Data Visibility in Master Data Management Environments -- Access Control Basics -- Policies and Entitlements -- Entitlements and Visibility -- Integrating MDM Solutions with Enterprise Information Security -- References -- Part IV: Implementing and Governing Master Data Management -- 12 Building a Business Case and Roadmap for MDM -- Importance of the MDM Business Case and the Current State of the Problem -- MDM Sponsorship Scenarios and Their Challenges -- What MDM Stakeholders Want to Know -- Business Processes and MDM Drivers -- Benefits and Their Estimation -- Importance of the MDM Roadmap -- Conclusion -- References -- 13 Project Initiation -- Implementation Begins -- Scope Definition -- MDM Data Hub Solution Architecture -- Project Work Streams -- References -- 14 Entity Resolution: Identification, Matching, Aggregation, and Holistic View of the Master Objects -- Holistic Entity View and a 360-Degree View of a Customer: Frequently Used Terms and Definitions -- Attributes and Attribute Categories Commonly Used for Matching and Identification -- Customer Identification, Matching Process, and Models -- Summary of Data-Matching Requirements and Solutions -- References -- 15 Beyond Party Match: Merge, Split, Party Groups, and Relationships -- Merge and Split -- Relationships and Groups -- Need for Persistent Match Group Identifiers -- References -- 16 Data Synchronization, MDM System Testing, and Other Implementation Concerns -- Goals of Data Synchronization -- Technology Approach to Use Case Realization -- Testing Considerations -- Considerations for the MDM Application and Presentation Layers -- Additional Technical and Operational Concerns -- References -- 17 Master Data Governance -- Basics of Data Governance -- Data Governance for Master Data Management -- How to Make Data Governance More Focused and Efficient -- Conclusion -- References -- Part V: Master Data Management: Markets, Trends, and Directions -- 18 MDM Vendors and Products Landscape -- MDM Market Consolidation -- Major MDM Vendors -- References -- 19 Where Do We Go from Here? -- Review of the Key Points Covered in the Preceding Chapters -- Main Reasons MDM Projects Fail -- MDM Guiding Principles -- Master Data Management: Trends and Directions

Resumen: The latest techniques for building a customer-focused enterprise environment Regain control of your master data and maintain a master-entity-centric enterprise data framework using the detailed information in this authoritative guide. Master Data Management and Data Governance, Second Edition provides up-to-date coverage of the most current architecture and technology views and system development and management methods. Discover how to construct an MDM business case and roadmap, build accurate models, deploy data hubs, and implement layered security policies. Legacy system integration, cross-industry challenges, and regulatory compliance are also covered in this comprehensive volume. Plan and implement enterprise-scale MDM and Data Governance solutions Develop master data model Identify, match, and link master records for various domains through entity resolution Improve efficiency and maximize integration using SOA and Web services Ensure compliance with local, state, federal, and international regulations Handle security using authentication, authorization, roles, entitlements, and encryption Defend against identity theft, data compromise, spyware attack, and worm infection Synchronize components and test data quality and system performanceResumen: RESUMEN EN ESPAÑOL Las últimas técnicas para crear un entorno empresarial centrado en el cliente Recupere el control de sus datos maestros y mantenga un marco de datos empresarial centrado en la entidad maestra utilizando la información detallada de esta guía autorizada. Master Data Management and Data Governance, Second Edition proporciona una cobertura actualizada de las vistas de arquitectura y tecnología más actuales y métodos de gestión y desarrollo de sistemas. Descubra cómo construir un caso de negocio y una hoja de ruta de MDM, crear modelos precisos, implementar centros de datos e implementar políticas de seguridad en capas. La integración de sistemas heredados, los desafíos entre industrias y el cumplimiento normativo también se tratan en este volumen integral. Planifique e implemente soluciones de gobernanza de datos y MDM a escala empresarial Desarrollar modelo de datos maestros Identifique, haga coincidir y vincule registros maestros para varios dominios a través de la resolución de entidades Mejore la eficiencia y maximice la integración utilizando SOA y servicios web Garantizar el cumplimiento de las normas locales, estatales, federales e internacionales. Maneje la seguridad usando autenticación, autorización, roles, derechos y encriptación Defiéndase contra el robo de identidad, el compromiso de datos, el ataque de spyware y la infección por gusanos Sincronice componentes y pruebe la calidad de los datos y el rendimiento del sistema

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Existencias
Tipo de ítem	Biblioteca actual	Biblioteca de origen	Colección	Signatura topográfica	Copia número	Estado	Notas	Fecha de vencimiento	Código de barras	Reserva de ítems
Libros para consulta en sala	Biblioteca Antonio Enriquez Savignac	Biblioteca Antonio Enriquez Savignac	COLECCIÓN RESERVA	HF 5415 .5 B4835 2011 (Navegar estantería(Abre debajo))	Ejem.1	No para préstamo (Préstamo interno)	Ingeniería en Datos e Inteligencia Organizacional		042803

Total de reservas: 0

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Previo		No hay imagen de cubierta disponible						Siguiente
Previo	HF 5415 .5 A34 1994 Todo el poder al cliente : el nuevo imperativo de la calidad del servicio /	HF5415.5 A7277 CRM para directivos /	HF5415.5 B367 Valor emocional en el servicio: Estrategia para crear, conservar y fortalecer las relaciones con sus clientes /	HF 5415 .5 B4835 2011 Master data management and data governance /	HF5415.5 D4518 Calidad en el servicio a los clientes: Cómo compiten las grandes compañías americanas en la revolución del servicio al cliente y cómo podemos hacerlo todos /	HF 5415 .5 D61 2009 ITIL diseño del servicio /	HF5415.5 E372o 2000 Organización atenta : consejos para tener clientes contentos /	Siguiente

Incluye referencias bibliográficas e índice.

Part I: Introduction to Master Data Management --

1 Overview of Master Data Management --
Master Data Management (MDM) --
Master Data Management for Customer Domain: Customer Data Integration (CDI) --
Other MDM Variants: Products, Organizations, Hierarchies --
Introduction to MDM Classification Dimensions --
Key Benefits of Master Data Management --
References --
2 MDM: Overview of Market Drivers and Key Challenges --
Market Growth and Adoption of MDM --
Business and Operational Drivers of MDM --
MDM Challenges --
References --
3 MDM Applications by Industry --
Industry Views of MDM --
Commercial Sector --
Public Sector --
References --

Part II: Architectural Considerations --

4 MDM Architecture Classifications, Concepts, Principles, and Components --
Architectural Definition of Master Data Management --
Evolution of Master Data Management Architecture --
MDM Architectural Philosophy and Key Architecture Principles --
MDM Architecture Viewpoints --
References --
5 Data Management Concerns of MDM Architecture: Entities, Hierarchies, and Metadata --
Data Strategy --
Managing Data in the Data Hub --
References --
6 MDM Services for Entity and Relationships Resolution and Hierarchy Management --
Architecting an MDM System for Entity Resolution --
MDM Architecture for Entity Resolution --
Aggregating Entity Information --
Data Hub Keys and Life-Cycle Management Services --
References --
7 Master Data Modeling --
Importance of Data Modeling --
Predominant Data Modeling Styles --
MDM Data Modeling Requirements --
Data Modeling Styles and Their Support for Multidomain MDM --
References --

Part III: Data Security, Privacy, and Regulatory Compliance --

8 Overview of Risk Management for Master Data --
Risk Taxonomy --
Regulatory Compliance Landscape --
Regulatory Compliance Requirements and Their Impact on MDM IT Infrastructure --
Key Information Security Risks and Regulatory Concerns --
Key Technical Implications of Data Security and Privacy Regulations on MDM Architecture --
References --
9 Introduction to Information Security and Identity Management --
Traditional and Emerging Concerns of Information Security --
Overview of Security Technologies --
Integrating Authentication and Authorization --
Web Services Security Concerns --
Putting It All Together --
References --
10 Protecting Content for Secure Master Data Management --
Data Security Evolution --
Data Security Overview --
Enterprise Rights Management --
References --
11 Enterprise Security and Data Visibility in Master Data Management Environments --
Access Control Basics --
Policies and Entitlements --
Entitlements and Visibility --
Integrating MDM Solutions with Enterprise Information Security --
References --

Part IV: Implementing and Governing Master Data Management --

12 Building a Business Case and Roadmap for MDM --
Importance of the MDM Business Case and the Current State of the Problem --
MDM Sponsorship Scenarios and Their Challenges --
What MDM Stakeholders Want to Know --
Business Processes and MDM Drivers --
Benefits and Their Estimation --
Importance of the MDM Roadmap --
Conclusion --
References --
13 Project Initiation --
Implementation Begins --
Scope Definition --
MDM Data Hub Solution Architecture --
Project Work Streams --
References --
14 Entity Resolution: Identification, Matching, Aggregation, and Holistic View of the Master Objects --
Holistic Entity View and a 360-Degree View of a Customer: Frequently Used Terms and Definitions --
Attributes and Attribute Categories Commonly Used for Matching and Identification --
Customer Identification, Matching Process, and Models --
Summary of Data-Matching Requirements and Solutions --
References --
15 Beyond Party Match: Merge, Split, Party Groups, and Relationships --
Merge and Split --
Relationships and Groups --
Need for Persistent Match Group Identifiers --
References --
16 Data Synchronization, MDM System Testing, and Other Implementation Concerns --
Goals of Data Synchronization --
Technology Approach to Use Case Realization --
Testing Considerations --
Considerations for the MDM Application and Presentation Layers --
Additional Technical and Operational Concerns --
References --
17 Master Data Governance --
Basics of Data Governance --
Data Governance for Master Data Management --
How to Make Data Governance More Focused and Efficient --
Conclusion --
References --

Part V: Master Data Management: Markets, Trends, and Directions --
18 MDM Vendors and Products Landscape --
MDM Market Consolidation --
Major MDM Vendors --
References --
19 Where Do We Go from Here? --
Review of the Key Points Covered in the Preceding Chapters --
Main Reasons MDM Projects Fail --
MDM Guiding Principles --
Master Data Management: Trends and Directions

The latest techniques for building a customer-focused enterprise environment
Regain control of your master data and maintain a master-entity-centric enterprise data framework using the detailed information in this authoritative guide. Master Data Management and Data Governance, Second Edition provides up-to-date coverage of the most current architecture and technology views and system development and management methods. Discover how to construct an MDM business case and roadmap, build accurate models, deploy data hubs, and implement layered security policies. Legacy system integration, cross-industry challenges, and regulatory compliance are also covered in this comprehensive volume.

Plan and implement enterprise-scale MDM and Data Governance solutions
Develop master data model
Identify, match, and link master records for various domains through entity resolution
Improve efficiency and maximize integration using SOA and Web services
Ensure compliance with local, state, federal, and international regulations
Handle security using authentication, authorization, roles, entitlements, and encryption
Defend against identity theft, data compromise, spyware attack, and worm infection
Synchronize components and test data quality and system performance

RESUMEN EN ESPAÑOL

Las últimas técnicas para crear un entorno empresarial centrado en el cliente
Recupere el control de sus datos maestros y mantenga un marco de datos empresarial centrado en la entidad maestra utilizando la información detallada de esta guía autorizada. Master Data Management and Data Governance, Second Edition proporciona una cobertura actualizada de las vistas de arquitectura y tecnología más actuales y métodos de gestión y desarrollo de sistemas. Descubra cómo construir un caso de negocio y una hoja de ruta de MDM, crear modelos precisos, implementar centros de datos e implementar políticas de seguridad en capas. La integración de sistemas heredados, los desafíos entre industrias y el cumplimiento normativo también se tratan en este volumen integral.

Planifique e implemente soluciones de gobernanza de datos y MDM a escala empresarial
Desarrollar modelo de datos maestros
Identifique, haga coincidir y vincule registros maestros para varios dominios a través de la resolución de entidades
Mejore la eficiencia y maximice la integración utilizando SOA y servicios web
Garantizar el cumplimiento de las normas locales, estatales, federales e internacionales.
Maneje la seguridad usando autenticación, autorización, roles, derechos y encriptación
Defiéndase contra el robo de identidad, el compromiso de datos, el ataque de spyware y la infección por gusanos
Sincronice componentes y pruebe la calidad de los datos y el rendimiento del sistema

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