Contents
Introduction to data governance
- Definition of data & AI governance, clarification of terms and classification.
- Why is data governance needed and what added value does it offer organizations?
- Economic and legal requirements for data governance.
- Data value-oriented control.
Building blocks and content of a data governance framework
- Data Interoperability.
- Data Model.
- Data Scope.
- Data Ownership.
- Data Catalog.
- Metadata.
- Data Lineage.
- Data Quality.
- Data Sharing.
Data governance strategy
- Roles and responsibilities.
- Identification of data governance objectives.
- Methods and measures for the introduction of data governance.
- Interfaces to other specialist areas.
- Integration into existing structures and processes.
Implementation of data governance in the company
- Practical examples.
- Tips and tricks for implementation.
Learning environment
In your online learning environment, you will find useful information, downloads and extra services for this training course once you have registered.
Your benefit
Basically, the training provides the knowledge required for the introduction of sustainable data governance. You will learn,
- the importance of data governance for your company and the added value it offers the organization.
- what content and building blocks a functioning data governance system should contain.
- how you can develop the first steps of your own data governance strategy.
- how you can successfully establish and anchor data governance in your company.
If you are also interested in the "Managing data quality successfully" training , it is advisable, but not essential, to start with the "Data governance" training .
Methods
Practice-oriented lecture with many practical applications. Participants can bring in their own questions. This is not a training training course.
Recommended for
Data governance managers, data quality managers, managers from controlling, finance, marketing, data quality management and all persons who deal with strategic issues relating to data governance and data quality.
Start dates and details

Thursday, 26.02.2026
09:00 am - 5:00 pm

Wednesday, 05.08.2026
09:00 am - 5:00 pm