Visão Geral

Curso Master Data Management Bootcamp MDM. As empresas reconhecem cada vez mais a importância de ter uma visão consistente, precisa e confiável dos seus principais conjuntos de dados. Isso levou a um aumento significativo na adoção do Master Data Management (MDM). O MDM abrange arquitetura de dados, modelagem de dados, processos de governança e políticas de qualidade de dados, responsabilidades de administração de dados e alinhamento entre arquitetura de dados e arquitetura de negócios.

Objetivo

Após concluir este Curso Master Data Management Bootcamp MDM, com exito você será capaz de:

• Compreender os principais elementos e propostas de valor envolvidos com MDM
• Examine a utilização real do MDM em um ambiente empresarial
• Identifique e discuta os riscos associados ao MDM
• Explore a infraestrutura e as ferramentas envolvidas no MDM
• Obtenha experiência prática na identificação, modelagem e implementação de soluções MDM
• Compreender o papel e a importância dos metadados no contexto do MDM
• Explore padrões e antipadrões comuns de MDM e discuta sua aplicação em uma arquitetura de solução mais ampla
• Examine o papel crítico que o gerenciamento de dados, a governança do MDM e a administração de dados desempenham em um esforço bem-sucedido de adoção do MDM

Publico Alvo

• Arquitetos de dados, modeladores de dados e líderes de equipe de tecnologia
• Qualquer pessoa interessada em se capacitar em Master Data
• Empresas interessadas em capacitar seu time antes ou depois da implementação um ERP 

Pre-Requisitos

• Compreensão básica de gerenciamento de dados e modelagem de dados

Materiais

Conteúdo Programatico

Introduction to Master Data Management

1. Defining Master Data
2. Qualities of Master Data
3. Types of organization data
4. Master Data Management (MDM)
5. MDM Enterprise Data Context
6. MDM Journey Maps
7. MDM Pyramid
8. Common Causes for Unmanaged Data
9. MDM Domains
10. Domain Usages
11. Industry Standard Domains
12. Technology Evolution
13. Using Master Data
14. Benefits of MDM
15. Regulatory Compliance & MDM
16. Taxonomy of Risk
17. Direct impacts of MDM
18. Common Implementation Styles
19. Consolidation Implementation Style
20. Registry or Federation Implementation Style
21. Coexistence Implementation Style
22. Transactional Hub Implementation Style

MDM Value Proposition

1. Business Benefits of MDM
2. Benefits of Accurate Data
3. Cost Saving and Efficiency
4. Better Regulation Compliance
5. Better Time to Market
6. Mergers and Acquisitions

Real Life Case Studies

1. Better Reporting at Nationwide
2. Cost Cutting at Shell Oil
3. Single Customer View for Canon Europe\
4. Brinker Gets a New Menu

MDM Risks

1. Risk Categories
2. Technical Risk – Data Model Standardization
3. Technical Risk – Tools and Infrastructure
4. Technical Risk – Data Architecture
5. Technical Risk – Ignoring the Role of Business Processes
6. Technical Risk – Testing and Validation
7. The Carbon Interfaces
8. Human Risk – Change Management
9. Human Risk – Communication
10. Human Risk – Unrealistic Expectations
11. Human Risk – Funding
12. Data Risk – Assessing
13. Data Risk – Cleansing
14. Data Risk – Standardizing
15. Data Risk – Pruning and Archiving
16. Data Risk – Connecting and Matching
17. Human Risk – Funding

Crafting an MDM Business Case

1. Business Case for MDM
2. Technology-enabled business through MDM
3. Building the Case for MDM
4. Building the Case Checklist
5. Identify the Business Drivers
6. Explore the Potential that MDM Has to Offer
7. Aligning Drivers and Value
8. Crafting the Business Case
9. Organization specific components

Key Success Factors

1. Business Stakeholder Involvement
2. Data Model Design
3. MDM Governance is Essential
4. MDM Stewardship is Critical
5. Incremental Adoption
6. Best Practice Success Factors

Introduction to Metadata Management

1. What is Metadata?
2. How is Metadata Defined?
3. Metadata and MDM
4. Basic Concepts
5. Value Domain
6. Metadata and Data Governance
7. SOA metadata repository
8. SOA registry as a governance tool
9. Metadata, MDM and Technology-Enabled Business

Data Modeling in MDM

1. Introduction to Data Modeling
2. Master Data Model Requirements
3. Conceptual Data Model
4. Logical Data Model
5. Physical or Persistent Data Model
6. Persistent Data Model in MDM
7. What Goes in MDM?
8. Relationship Modeling in MDM
9. Relationship Resolution
10. Additional Modeling Activities
11. Master Data Model Development
12. Best Practices

Governance and Maturity Model

1. Introduction to Governance
2. Governance and stewardship for MDM
3. Governance in IT
4. Data Governance
5. MDM Governance Life Cycle
6. Versioning
7. Roles and Responsibilities
8. MDM Business Processes
9. Metrics
10. MDM Metric Dashboard
11. MDM Maturity Model
12. Initial Level
13. Reactive Level
14. Managed Level
15. Proactive Level
16. Strategic Performance Level

Adoption Road Map

1. Gartner 7 Building Blocks for MDM
2. MDM Vision
3. Incremental Development
4. Typical Adoption Process
5. MDM Adoption Phase 1
6. MDM Adoption Phase 2
7. MDM Adoption Phase 3
8. MDM Implementation Activities
9. Establish Business Goals
10. Gap Analysis and Project Scope Definition
11. Requirements Analysis and Business Process Design
12. Identifying Master Data
13. Document Governance Policies
14. Define the Metadata
15. Define the Business Supporting Data Sets
16. Perform Master Object Analysis and Modeling
17. Implement the MDM Architecture
18. Technology investment
19. Implement Data Services
20. What role does MDM play in SOA?
21. MDM and SOA shared principles
22. MDM and SOA Governance
23. MDM Solutions
24. MDM product adoption
25. Gartner MDM Magic Quadrant
26. Migrate Business Critical (AKA Legacy) Application

Lab Exercises

• Lab 1. Identifying MDM Value
• Lab 2. Designing a Preliminary Business Case for MDM
• Lab 3. Designing an MDM Adoption Roadmap