MDM, Master Data Management, Master Data Management in practice

Tangible tools to get started with business-driven MDM development
Master Data Management (MDM) is often perceived as being an academic exercise as a separate entity for harmonisation in the IT department, which is far from the real business benefits. 

It's time to shake that view and learn the methods and best practices in different areas of Master Data Management.


Course Aims and Objectives

  • During this course you will:
  • Learn the concept and terminology of Master Data Management (MDM)
  • Gain an overview over the main areas of MDM
  • Understand the MDM business benefits through real-life examples from different organizations and industries

After the course, you will be able to operate in the different stages of MDM projects, from mapping out business benefits to deploying work processes, with an understanding of how it's connected to your organization's strategic development activities.

You will learn the fundamental MDM concepts and models, as well as concrete tools to support your organization's MDM development. All stages are described through real life examples and exercises.


Missade du vårt seminarium om MDM kan du se en eftersändning här.



TaruTaru Väre is a senior consultant at Talent Base and leads knowledge management in her organisation.

She has many years of experience in a variety of educations and trainings, from extensive courses to smaller trainings in the field of systems, processes and information management. At Talent Base, she works as a senior consultant in demanding customer projects with experience centred in Master Data Management (MDM) and improving data quality. She is also promoting the development of data management as the President of DAMA Finland and holds a DAMA CDMP Practitioner certification from 2016.

This course is a collaboration between Talent Base and Dataföreningen Kompetens. 


Who Should Attend

All those interested in the MDM area. Suitable for people in both private and public organizations.

  • For example:
  • Master data managers
  • Business Development managers
  • Business decision makers
  • Enterprise Architects
  • System Architects
  • Information architects
  • System/Process owners
  • System specialist/developers
  • Project/Program Managers
  • Various roles from the business side (Marketing, F&C, Sales, Service)


General understanding of data management.

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