MDM, Master Data Management, Master Data Management in practice

Tangible tools to get started with business-driven MDM development

Contents

This 2-day course will provide a solid foundation in the topic of Master Data Management through the areas of key concepts, business benefits and how it connects to business processes and the company culture

    • What is Master Data Management (MDM)
    • MDM thinking and basic concepts
    • Most common Master Data domains
    • How MDM relates to the organization’s operations and the systems that supporting them - data warehousing and reporting
    • MDM: Business Benefits
    • Typical reasons to invest in MDM
    • Identifying the business benefits
    • Justifying the MDM initiative in the organization
    • Data models, standards and rules
    • Meaning and benefits of commonly agreed definitions
    • Defining the Master Data entities, attributes, relations, and metadata in a business understandable way
    • Taking advantage of existing models
    • Master Data lifecycle and data management processess
    • Basic MDM processes: Creating, updating, archiving and quality assuring of master data
    • Developing and depicting Master Data processes throughout the data lifecycle
    • Implementing the MDM processes to organization’s operations
    • Master Data Governance
    • What is data governance and why is it required?
    • Master data ownership and responsibility
    • How to set up a data governance model
    • Master data management systems and architectural approaches
    • MDM as a piece of organization’s architectural blueprint
    • Different architectural approaches for MDM
    • Most required and used features of MDM systems
    • Measuring and improving master data quality
    • Live or die with data quality
    • How data quality is measured and improved
    • Implementing data quality measures and practices


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