MDM, Master Data Management, Master Data Management in practice

Tangible tools to get started with business-driven MDM development


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 model of thinking and key concepts
    • The most common areas of Master Data
    • How MDM is associated with the company's operations and its supporting operational systems including data warehousing and reporting
    • MDM: Business Benefits
    • Typical reasons to start an MDM project
    • Mapping (methods and tools + exercise)
    • Justification of an MDM project to the organization's management (case study)
    • Specifying and Describing of Master Data Objects
    • Why commonly agreed definitions are essential
    • How common definitions are described to be understood by the different stakeholders (methods and tools + exercise)
    • Using existing models (best practices)
    • Master data management processes
    • How to connect master data management to business processes
    • Who will assume responsibility for developing the Master Data processes?
    • Changes to master data throughout the data lifecycle (methods and tools)
    • Tools that guides user-friendly processes
    • MDM as part of the organizational culture
    • What is data governance as a knowledge management model?
    • Master Data ownership, and responsibility for the quality
    • Forming an MDM organization (best practices)
    • MDM as part of the company's information and enterprise architecture
    • Various MDM architectures
    • Key features of MDM tools (exercise)
    • Market Overview of MDM systems
    • Measurement of master data quality and its continuous improvement
    • How to create data quality metrics and monitor their implementation
    • Measures to improve the quality
    • Tools for measuring and improving the quality of the data (methods and tools)
    • Planning an MDM project
    • Different approaches to planning an MDM project (best practices)
    • The need for change management
    • What should be required from an external supplie

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