Data governance
Establishing a sustainable data strategy and data-driven culture
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.
Tool
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
Thursday, 05.11.2026
09:00 am - 5:00 pm
Friday, 05.02.2027
09:00 am - 5:00 pm
Frequently Asked Questions (FAQ)
Data governance provides you with a clear framework for how data is regulated, maintained, and used within the company. You will learn how responsibilities, roles, and standards are defined in order to provide high-quality data, reduce risks, and build trust in data-based decisions. This will help you to systematically address and solve specific challenges in your everyday work.
The training practical training into the components that a functional data governance strategy should include and how to develop initial approaches. You will receive methods and tips on how to establish and permanently integrate this strategy in your organization so that data quality and data culture are measurably improved.
You will learn not only about technical aspects, but also about organizational rules that ensure data processes run in a controlled manner. This significantly reduces risks such as incorrect data interpretations, compliance issues, or security gaps, because responsibilities and processes are clearly defined.
After the training , you training identify specific use cases, clarify roles and responsibilities within the team, and design data-related processes more efficiently. You will understand the fundamental principles of data governance and be able to apply them in your projects.
The training not only training you training specialist knowledge, but also concrete implementation tips and practical examples. Immediately after the training , you can work training further developing your data governance initiatives, defining responsibilities, and establishing concrete measures to improve quality.