Contents
Introduction to data and data-driven decision-making
- The importance of data in companies.
- The role of AI in decision-making.
- Typical challenges in dealing with data.
Data Governance - The foundation of the data strategy
- Concepts and principles: What makes good data governance?
- Common stumbling blocks and how to avoid them.
- Development of an individual governance framework.
Data Management - Efficient data management
- Data collection, storage and processing: best practices.
- Ensuring data quality (evaluation & cleansing).
- Identification and use of AI applications in data management activities (data cleansing).
Business processes - optimization in the context of data
- Design of data-based processes.
- Practical examples of successful process adaptations.
- Interaction between governance, management and processes.
Data architecture - creating a robust infrastructure
- Fundamentals of modern architecture.
- Implementation challenges for transformation projects.
Roadmap for data-driven projects
- Step-by-step guide to implementing new initiatives.
- Internal & external resource planning.
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
After this training , you will be able to start and scale data-driven projects with confidence. You will receive practical tools to successfully implement key building blocks such as governance, management and architecture. You will lay the foundations for sustainable innovations with maximum business value.
Methods
experts, discussions, case studies, analyses, best-practice examples
Tools
Recommended for
decision makers; managing directors, executives, chief data officers (CDOs) and IT and data managers.
Further recommendations for "Data governance, data management and the use of AI"
41230
Start dates and details
Thursday, 22.01.2026
09:00 am - 5:30 pm
Friday, 23.01.2026
09:00 am - 5:00 pm
- one joint lunch per full seminar day,
- Catering during breaks and
- extensive working documents.
Wednesday, 22.04.2026
09:00 am - 5:30 pm
Thursday, 23.04.2026
09:00 am - 5:00 pm
- one joint lunch per full seminar day,
- Catering during breaks and
- extensive working documents.
Monday, 20.07.2026
09:00 am - 5:30 pm
Tuesday, 21.07.2026
09:00 am - 5:00 pm
- one joint lunch per full seminar day,
- Catering during breaks and
- extensive working documents.
- one joint lunch per full seminar day,
- Catering during breaks and
- extensive working documents.