Over two days, we alternate theory sessions with practical group exercises. Together with the other course participants, you will have time to reflect and share your experiences. The course leaders will moderate the discussion and contribute insights and results from the practical world.

• 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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