Course #:WA1727 Master Data Management (MDM) Foundation Workshop Training 07/12/2021 - 07/13/2021 USD$1,500.00 Instructor Led Virtual 07/19/2021 - 07/20/2021 USD$1,500.00 Instructor Led Virtual 08/03/2021 - 08/04/2021 USD$1,500.00 Instructor Led Virtual 08/30/2021 - 08/31/2021 USD$1,500.00 Instructor Led Virtual 10/18/2021 - 10/19/2021 USD$1,500.00 Instructor Led Virtual You have heard it said: “It’s all about the data,” and indeed, data represents one of the most valuable assets that your enterprise possesses is your data. For many organizations, data serves as the cornerstone of their intellectual property. The trouble is that for many enterprises, their data is spread across multiple disparate data stores, complete with inconsistent data structures, non-standard naming conventions, duplicate data, and conflicting data representations. No matter how well your applications, services, business processes, or other technology systems and assets are designed, nothing can cover up or otherwise overcome the limitations of bad data. Mismanaged data results in conflicting reports, unreliable results, information replication issues, and a host of other problems that require extensive workarounds, patches, and troubleshooting. Master Data Management (MDM) is an alignment strategy aimed at unifying your organization’s data into a coherent whole. MDM provides an overarching methodology for resolving data fragmentation. Data fragmentation results in duplicate data, inconsistent information sets, and stale or out-of-data reports. MDM addresses all of this from a comprehensive perspective and ensures that your data management strategy aligns with your business objectives. This course provides a hands-on, workshop environment to enable project teams to explore MDM theory, practice, and strategy in a dynamic education and mentoring environment. Attendees are provided with a broad survey of Master Data concepts and given an opportunity to explore MDM from multiple angles. Concepts are reinforced through analysis of real world case studies, group discussion, as well as collaborative group-based exercises designed to put these concepts into practice. Topics Master Data Management Concepts Master Data Management 101 The Master Data Value Proposition Real World Case Study Analysis Opportunities and Risks MDM Infrastructure and Tools Key Success Factors MDM Adoption The Master Data Model The Importance of Metadata Designing Your Data Model Warehousing Master Data MDM Patterns MDM Anti-patterns Audience Information Technology Architects, Developers, Business Analysts, and Managers Prerequisites A basic understanding of data models and information management is expected. Previous experience with database design concepts is helpful, but not required. Duration 2 days Outline of Master Data Management (MDM) Foundation Workshop Training Chapter 1 - Introduction to Master Data Management Defining Master Data Qualities of Master Data Master Data Management (MDM) Common Causes for Unmanaged Data MDM Domains Industry Standard Domains Using Master Data 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 Summary Chapter 5 - Crafting an MDM Business Case Building the Case for MDM Identify the Business Drivers Explore the Potential that MDM Has to Offer Aligning Drivers and Value Crafting the Business Case Other Information Summary Chapter 6 - Key Success Factors Business Stakeholder Involvement Data Model Design MDM Governance is Essential Incremental Adoption 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 Summary Chapter 8 - Data Modeling in MDM Introduction to Data Modeling Conceptual Data Model Logical Data Model Physical or Persistent Data Model Persistent Data Model in MDM What Goes in MDM? Relationship Modeling in MDM Additional Modeling Activities A few Best Practices Summary Chapter 9 - Governance and Maturity Model Introduction to Governance Governance in IT Data Governance MDM Business Processes Metrics MDM Maturity Model Initial Level Reactive Level Managed Level Proactive Level Strategic Performance Level Summary Chapter 10 - Adoption Road Map 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 Perform Master Object Analysis and Modeling Implement the MDM Architecture Implement Data Services Migrate Legacy Application Summary Appendix A – MDM Glossary Appendix B – MDM Roadmap We regularly offer classes in these and other cities. Atlanta, Austin, Baltimore, Calgary, Chicago, Cleveland, Dallas, Denver, Detroit, Houston, Jacksonville, Miami, Montreal, New York City, Orlando, Ottawa, Philadelphia, Phoenix, Pittsburgh, Seattle, Toronto, Vancouver, Washington DC. View Course Outline Share This Request On-Site or Customized Course Info REGISTER FOR A COURSEWARE SAMPLE x Sent First Name Last Name Email Request On-Site or Customized Course Info x Sent First Name Last Name Phone Number Company Name Email Question
Course #:WA1727 Master Data Management (MDM) Foundation Workshop Training 07/12/2021 - 07/13/2021 USD$1,500.00 Instructor Led Virtual 07/19/2021 - 07/20/2021 USD$1,500.00 Instructor Led Virtual 08/03/2021 - 08/04/2021 USD$1,500.00 Instructor Led Virtual 08/30/2021 - 08/31/2021 USD$1,500.00 Instructor Led Virtual 10/18/2021 - 10/19/2021 USD$1,500.00 Instructor Led Virtual You have heard it said: “It’s all about the data,” and indeed, data represents one of the most valuable assets that your enterprise possesses is your data. For many organizations, data serves as the cornerstone of their intellectual property. The trouble is that for many enterprises, their data is spread across multiple disparate data stores, complete with inconsistent data structures, non-standard naming conventions, duplicate data, and conflicting data representations. No matter how well your applications, services, business processes, or other technology systems and assets are designed, nothing can cover up or otherwise overcome the limitations of bad data. Mismanaged data results in conflicting reports, unreliable results, information replication issues, and a host of other problems that require extensive workarounds, patches, and troubleshooting. Master Data Management (MDM) is an alignment strategy aimed at unifying your organization’s data into a coherent whole. MDM provides an overarching methodology for resolving data fragmentation. Data fragmentation results in duplicate data, inconsistent information sets, and stale or out-of-data reports. MDM addresses all of this from a comprehensive perspective and ensures that your data management strategy aligns with your business objectives. This course provides a hands-on, workshop environment to enable project teams to explore MDM theory, practice, and strategy in a dynamic education and mentoring environment. Attendees are provided with a broad survey of Master Data concepts and given an opportunity to explore MDM from multiple angles. Concepts are reinforced through analysis of real world case studies, group discussion, as well as collaborative group-based exercises designed to put these concepts into practice. Topics Master Data Management Concepts Master Data Management 101 The Master Data Value Proposition Real World Case Study Analysis Opportunities and Risks MDM Infrastructure and Tools Key Success Factors MDM Adoption The Master Data Model The Importance of Metadata Designing Your Data Model Warehousing Master Data MDM Patterns MDM Anti-patterns Audience Information Technology Architects, Developers, Business Analysts, and Managers Prerequisites A basic understanding of data models and information management is expected. Previous experience with database design concepts is helpful, but not required. Duration 2 days Outline of Master Data Management (MDM) Foundation Workshop Training Chapter 1 - Introduction to Master Data Management Defining Master Data Qualities of Master Data Master Data Management (MDM) Common Causes for Unmanaged Data MDM Domains Industry Standard Domains Using Master Data 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 Summary Chapter 5 - Crafting an MDM Business Case Building the Case for MDM Identify the Business Drivers Explore the Potential that MDM Has to Offer Aligning Drivers and Value Crafting the Business Case Other Information Summary Chapter 6 - Key Success Factors Business Stakeholder Involvement Data Model Design MDM Governance is Essential Incremental Adoption 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 Summary Chapter 8 - Data Modeling in MDM Introduction to Data Modeling Conceptual Data Model Logical Data Model Physical or Persistent Data Model Persistent Data Model in MDM What Goes in MDM? Relationship Modeling in MDM Additional Modeling Activities A few Best Practices Summary Chapter 9 - Governance and Maturity Model Introduction to Governance Governance in IT Data Governance MDM Business Processes Metrics MDM Maturity Model Initial Level Reactive Level Managed Level Proactive Level Strategic Performance Level Summary Chapter 10 - Adoption Road Map 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 Perform Master Object Analysis and Modeling Implement the MDM Architecture Implement Data Services Migrate Legacy Application Summary Appendix A – MDM Glossary Appendix B – MDM Roadmap We regularly offer classes in these and other cities. Atlanta, Austin, Baltimore, Calgary, Chicago, Cleveland, Dallas, Denver, Detroit, Houston, Jacksonville, Miami, Montreal, New York City, Orlando, Ottawa, Philadelphia, Phoenix, Pittsburgh, Seattle, Toronto, Vancouver, Washington DC. View Course Outline Share This Request On-Site or Customized Course Info REGISTER FOR A COURSEWARE SAMPLE x Sent First Name Last Name Email Request On-Site or Customized Course Info x Sent First Name Last Name Phone Number Company Name Email Question
