Data Management in Manufacturing
Data Management in Manufacturing Seminar
The seminar is offered exclusively in German.
The seminar ‘Data Management in Production’ explains how companies can use data as a strategic factor for success. In an increasingly digitalised industry, high-quality data forms the basis for digitalisation, Industry 4.0, automation and artificial intelligence. The seminar demonstrates that the successful use of data is not primarily an IT task, but rather a business management task.
The focus is on how data can be generated, utilised and managed throughout the entire value chain. Clear processes, defined responsibilities and high data quality are the prerequisites for well-informed decisions and sustainable competitive advantages.
Data Management in Production
This seminar teaches practical methods for systematically establishing data management, creating transparency and laying the foundations for digitalisation, automation and the successful use of artificial intelligence.
1. Fundamentals of Data Management
- The importance of data as a strategic production factor
- The relationship between processes, data and digitalisation
- Data management as a corporate responsibility rather than a purely IT task
2. Data Quality and Master Data
- The importance of high-quality master data
- Avoiding errors, duplicates and inconsistencies
- The impact of data quality on business processes
3. Data Governance and Data Consistency
- Defining clear responsibilities for data
- The ‘single source of truth’ as the target state
- Seamless data flows along the value chain
4. Data in Production and Administration
- Integration of production, logistics and administration
- Use of data for business decisions
- Transparency regarding key performance indicators and business processes
5. Digitalisation, Automation and AI
- Data as the foundation for automation and Industry 4.0
- The importance of data for digital twins
- Prerequisites for the successful use of artificial intelligence
6. Knowledge management and cybersecurity
- Documentation and safeguarding of corporate knowledge
- Protection of sensitive corporate data
- Digital sovereignty and the responsible handling of data
7. Putting people first
- The role of people in data usage
- Responsibility in the age of digitalisation and AI
- Developing data literacy within the organisation
8. Methodology and learning format
- Interactive seminars and workshops
- Practical examples from industry
- Coaching and implementation support for organisations