Data Governance Training – Strategically Manage Data, Clarify Responsibilities, and Create Sustainable Structures
Upon request
1 - 2 days
Online, in Munich, or in-house
Upon request
German or English
Digital Certificate of Participation
How companies use clear data governance to make better decisions, ensure data quality, and scale AI applications and analytics sustainably. Data is one of the most important factors for the success of modern companies today. However, without clear responsibilities, uniform standards, and structured processes, inconsistencies, quality issues, and uncertainty arise when using data. This is exactly where our Data Governance training comes in: It teaches the fundamentals, methods, and organizational building blocks needed to establish a structured, transparent, and sustainable approach to data management within your company.
In this seminar, you’ll learn how data governance, analytics, business intelligence, and modern data management work together. You’ll develop a shared understanding of roles, processes, and responsibilities, and learn how to successfully integrate governance structures into existing organizations—in a practical, strategic, and immediately applicable way.
Content and Structure of the Data Governance Training Course
This training course provides an up-to-date understanding of data governance and demonstrates how governance structures can be established, managed, and embedded in an organization for the long term.
- Introduction to Data Governance and Enterprise-Wide Data Management
- Understanding Concepts, Classification, and Relationships
- The Importance of Governance for Data-Driven Organizations
- Economic, Regulatory, and Organizational Requirements
- Data as a Strategic Corporate Asset and Its Integration into Corporate Strategy
- Developing a shared understanding of data work, accountability, and vision statements
- Data Models, Metadata, Data Catalogs, and Data Lineage
- Fundamentals of Data Quality, Interoperability, and Data Sharing
- Defining Roles and Responsibilities
- The Relationship Between Data Architecture, Governance, and Operational Use
- Overview of Relevant Processes and Tools
- Role Models in Data Governance
- (Domain) Data Owner
- Data Steward
- Data Engineer
- BI & Analytics Roles
- Tasks and Responsibilities Throughout the Data Lifecycle
- Strategic vs. Operational Data Management
- Collaboration between departments, IT, analytics, and management
- Establishing Consistent Governance Structures and Role Profiles
- End-to-End Analysis of Data Requirements and Data Provision
- Understanding Data Consumer and Data Provider Journeys
- Governance Across Planning, Use, Operation, and Monitoring
- Integration into existing systems, processes, and organizational structures
- Methods for Implementing and Scaling Data Governance in an Organization
- Process Models for Implementing Data Governance
- Prioritizing Actions and Establishing a Governance Backlog
- Control Mechanisms and Continuous Improvement
- Typical Challenges, Risks, and Success Factors
- Real-World Examples and Best Practices
What You Can Put into Practice Right Away After the Data Governance Training
After completing this training, you will have a solid understanding of modern data governance and will be able to actively help shape initial governance structures.
- Strategically Classify and Evaluate Data Governance
- Clearly Define Roles, Responsibilities, and Processes
- Assess data quality and transparency from a long-term perspective and initiate improvements
- Integrating Governance Frameworks into Existing Organizations
- Strengthening Collaboration Between Business, IT, Analytics, and Management
- Prioritize and implement governance measures in a structured manner
- Better Analyze and Manage Data Journeys and Data Flows
Who is the Data Governance training course intended for?
This seminar is intended for:
- Specialists and Managers in Data and Information Management
- Leaders in Business Intelligence, Analytics, and Data Management
- Project Managers and Organizational Developers
- Management and IT Executives
- Companies that want to establish or professionalize data governance in a sustainable manner
This training is suitable for both beginners and organizations that wish to further develop their existing governance structures. During an initial consultation, we’ll discuss your specific situation and requirements. Based on this, we’ll prioritize individual modules so that they are optimally tailored to your current situation.
Prerequisites for the Data Governance Training Course
No special technical requirements are necessary to participate.
Customized In-House Training
We design customized in-house training programs—tailored perfectly to your needs.
- Content tailored to your reality
- Individual case studies from your company
- Development of an organization-specific prompt library
- Optional: Follow-up coaching & transfer sessions
About Us as a Provider of Data Governance Training
We are a management consulting firm with many years of experience in data management, analytics, and organizational transformation. Our data governance training courses combine strategic knowledge with practical methods and immediately applicable frameworks. We help companies establish data as a true corporate asset, build sustainable governance frameworks, and effectively foster data-driven collaboration.
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Expertise in Data Governance – Your Trainer
Tim Naumann helps companies develop modern data and governance structures. His focus is on integrating strategic data governance, operational feasibility, and sustainable organizational embedding. In his training sessions, he explains complex concepts in a clear and practical way, directly relating them to real-world challenges in analytics, business intelligence, and data management.
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- Strategic: Data Governance, Role Models, Data Organization & Target Architectures
- Secure: Governance Frameworks, Compliance Requirements, and Sustainable Data Structures
- Proven in Practice: Many Years of Experience in Data Management, Analytics, and Organizational Transformation
- Measurable: Focus on Data Quality, Transparency, Accountability, and Scalability
TISAX and ISO certification apply only to the Munich location
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TISAX and ISO certification apply only to the Munich location
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FAQ – Data Governance Training
This training is designed for specialists and executives in the fields of data management, analytics, business intelligence, IT, organization, and management. Companies seeking to improve data quality, professionalize governance, or clearly structure data responsibility will benefit particularly from this training. The content is suitable for both beginners and organizations with existing governance approaches.
Data governance reduces inconsistencies, unclear responsibilities, poor data quality, and inefficient collaboration between business units and IT. At the same time, it creates transparency regarding data flows, roles, and processes. This establishes a solid foundation for analytics, reporting, AI applications, and data-driven decisions.
Today, companies process significantly more data than ever before—while at the same time, regulatory requirements, security risks, and reliance on data quality are on the rise. Without governance, silos, inaccurate reports, and unclear responsibilities arise. Data governance is therefore becoming the foundation of modern digital transformation, analytics strategies, and AI initiatives.
Among other topics, the training covers role models, data quality, metadata management, data lineage, data journeys, governance frameworks, and organizational embedding. In addition, typical challenges from real-world projects are discussed, and best practices are presented. The goal is to provide a practical understanding rather than purely theoretical concepts.
No. The training course is deliberately structured so that even participants without in-depth technical knowledge can participate. The focus is on organizational, strategic, and procedural issues related to data governance and data-driven collaboration.
Data management often focuses on operational processing and technical infrastructure. Data governance, on the other hand, defines the rules, responsibilities, quality standards, and decision-making structures related to data. Governance thus creates the organizational framework within which data management can function effectively.