Master Data Management (MDM) Bootcamp Training

Course #:WA1868

Master Data Management (MDM) Bootcamp Training

Enterprises are increasingly recognizing the importance of having a consistent, accurate, authoritative view of their core data sets.  This has led to a significant increase in the adoption of Master Data Management (MDM).  MDM encompasses data architecture, data modeling, governance processes and data quality policies, data stewardship responsibilities, and alignment between data architecture and business architecture.

This three-day bootcamp provides a deep-dive into Master Data Management (MDM), its core architecture and design activities, as well as strategies and best practices for successful adoption.  Lecture content is re-enforced through discussion, group exercises, and hands-on labs designed to build the practical skills necessary to identify, model, and develop the architecture for an MDM initiative.

Topics
 
  • MDM Fundamentals
  • MDM Value Proposition
  • Real World Case Studies
  • Risks Associated with MDM
  • MDM Infrastructure and Tools
  • Metadata Management
  • Identifying Master Data
  • Modeling Master Data
  • Persisting Master Data
  • MDM Patterns and Anti-Patterns
  • Governing MDM
 
Objectives
 
  • Understand the core elements and value propositions involved with MDM
  • Examine real world utilization of MDM within an enterprise setting
  • Identify and discuss the risks associated with MDM
  • Explore the infrastructure and tools involved in MDM
  • Gain hands-on experience identifying, modeling, and implementing MDM solutions
  • Understand the role and importance of metadata within the context of MDM
  • Explore common MDM patterns, anti-patterns, and discuss their application within a broader solution architecture
  • Examine the critical role that data management, MDM governance, and data stewardship play within a successful MDM adoption effort
 
Audience
 

Data Architects, Data Modelers, and Technology Team Leads

 
Prerequisites
 

Basic understanding of Data Management and Data Modeling

 
Duration
  3 Days.

Outline of Master Data Management (MDM) Bootcamp Training

Chapter 1. Introduction to Master Data Management

  • Defining Master Data
  • Qualities of Master Data
  • Types of organization data
  • Master Data Management (MDM)
  • MDM Enterprise Data Context
  • MDM Journey Maps
  • MDM Pyramid
  • Common Causes for Unmanaged Data
  • MDM Domains
  • Domain Usages
  • Industry Standard Domains
  • Technology Evolution
  • Using Master Data
  • Benefits of MDM
  • Regulatory Compliance & MDM
  • Taxonomy of Risk
  • Direct impacts of MDM
  • Common Implementation Styles
  • Consolidation Implementation Style
  • Registry or Federation Implementation Style
  • Coexistence Implementation Style
  • Transactional Hub Implementation Style
  • Summary

Chapter 2. MDM Value Proposition

  • Business Benefits of MDM
  • Benefits of Accurate Data
  • Cost Saving and Efficiency
  • Better Regulation Compliance
  • Better Time to Market
  • Mergers and Acquisitions
  • Summary

Chapter 3. Real Life Case Studies

  • Better Reporting at Nationwide
  • Cost Cutting at Shell Oil
  • Single Customer View for Canon Europe\
  • Brinker Gets a New Menu
  • Summary

Chapter 4. MDM Risks

  • Risk Categories
  • Technical Risk – Data Model Standardization
  • Technical Risk – Tools and Infrastructure
  • Technical Risk – Data Architecture
  • Technical Risk – Ignoring the Role of Business Processes
  • Technical Risk – Testing and Validation
  • The Carbon Interfaces
  • Human Risk – Change Management
  • Human Risk – Communication
  • Human Risk – Unrealistic Expectations
  • Human Risk – Funding
  • Data Risk – Assessing
  • Data Risk – Cleansing
  • Data Risk – Standardizing
  • Data Risk – Pruning and Archiving
  • Data Risk – Connecting and Matching
  • Human Risk – Funding
  • Summary

Chapter 5. Crafting an MDM Business Case

  • Business Case for MDM
  • Technology-enabled business through MDM
  • Building the Case for MDM
  • Building the Case Checklist
  • Identify the Business Drivers
  • Explore the Potential that MDM Has to Offer
  • Aligning Drivers and Value
  • Crafting the Business Case
  • Organization specific components
  • Summary

Chapter 6. Key Success Factors

  • Business Stakeholder Involvement
  • Data Model Design
  • MDM Governance is Essential
  • MDM Stewardship is Critical
  • Incremental Adoption
  • Best Practice Success Factors
  • Summary

Chapter 7. Introduction to Metadata Management

  • What is Metadata?
  • How is Metadata Defined?
  • Metadata and MDM
  • Basic Concepts
  • Value Domain
  • Metadata and Data Governance
  • SOA metadata repository
  • SOA registry as a governance tool
  • Metadata, MDM and Technology-Enabled Business
  • Summary

Chapter 8. Data Modeling in MDM

  • Introduction to Data Modeling
  • Master Data Model Requirements
  • Conceptual Data Model
  • Logical Data Model
  • Physical or Persistent Data Model
  • Persistent Data Model in MDM
  • What Goes in MDM?
  • Relationship Modeling in MDM
  • Relationship Resolution
  • Additional Modeling Activities
  • Master Data Model Development
  • Best Practices
  • Summary

Chapter 9. Governance and Maturity Model

  • Introduction to Governance
  • Governance and stewardship for MDM
  • Governance in IT
  • Data Governance
  • MDM Governance Life Cycle
  • Versioning
  • Roles and Responsibilities
  • MDM Business Processes
  • Metrics
  • MDM Metric Dashboard
  • MDM Maturity Model
  • Initial Level
  • Reactive Level
  • Managed Level
  • Proactive Level
  • Strategic Performance Level
  • Summary

Chapter 10. Adoption Road Map

  • Gartner 7 Building Blocks for MDM
  • MDM Vision
  • Incremental Development
  • Typical Adoption Process
  • MDM Adoption Phase 1
  • MDM Adoption Phase 2
  • MDM Adoption Phase 3
  • MDM Implementation Activities
  • Establish Business Goals
  • Gap Analysis and Project Scope Definition
  • Requirements Analysis and Business Process Design
  • Identifying Master Data
  • Document Governance Policies
  • Define the Metadata
  • Define the Business Supporting Data Sets
  • Perform Master Object Analysis and Modeling
  • Implement the MDM Architecture
  • Technology investment
  • Implement Data Services
  • What role does MDM play in SOA?
  • MDM and SOA shared principles
  • MDM and SOA Governance
  • MDM Solutions
  • MDM product adoption
  • Gartner MDM Magic Quadrant
  • Migrate Business Critical (AKA Legacy) Application
  • Summary