Learning Objectives

• Understand why data rooms are important for businesses.
• Be able to apply basic concepts (data space, data ecosystem) correctly.
• Get an initial overview of how data rooms and Manufacturing-X work.
• Reflecting on your role as an advocate: What approaches are effective for raising awareness about data rooms among companies in a practical way?

Contents 

• Introduction and overview of the Train-the-Trainer program.
• Challenges and Opportunities for Businesses in the Connected Industry.
• What are data rooms and data ecosystems, and how do they work?
• Benefits and added value for businesses.
• Overview of Manufacturing-X.

Methodology

• An expert presentation with illustrative examples.
• Discussion and exchange with experts and other opinion leaders.
• Instructions and materials available for free use in your own transfer services.

Learning Objectives

• Understanding selected examples of data room applications.
• Classify the benefits and added value of data rooms for businesses using concrete real-world examples.
• Reflecting on your role as an advocate: How can companies be made aware of these opportunities? 

Contents 

• Review: Basic Concepts of Data Rooms and Data Ecosystems.
• Practical insights into selected use cases for data rooms (e.g., digital product passports, predictive maintenance).
• Advantages over existing data exchange solutions, as well as new opportunities for businesses.

Methodology

• Presentations by experts featuring illustrative examples.
• Discussion and exchange with experts and other opinion leaders.
• Instructions and materials available for free use in your own transfer services.

Learning Objectives

• Develop a deeper understanding of how data rooms work.
• Understanding the connection between data rooms, the connected industry, and AI applications.
• Learn about specific examples of AI applications.
• Reflecting on your role as an advocate: How can this content be communicated to companies?

Contents 

• Review: Basic Concepts of Data Rooms and Data Ecosystems.
• An in-depth look at how data rooms work and their mechanisms.
• Classification of data rooms within the periodic table of the connected industry.
• Data rooms as an opportunity for the use of AI in businesses.
• Practical examples of AI.

Methodology

• Presentations by experts featuring illustrative examples.
• Discussion and exchange with experts and other opinion leaders.
• Instructions and materials available for free use in your own transfer services.

Learning Objectives

• Understand what is meant by a company’s data room readiness.
• Understand the requirements that companies must meet to participate in data ecosystems.
• The ability to support companies at every stage of maturity as they adopt data ecosystems.

Contents 

• Review: Basic Concepts of Data Rooms and Data Ecosystems.
• Introduction to the concept of data room readiness.
• Assessing companies' current readiness for data rooms.
• Selected case studies from companies.
• Presentation of a proven readiness workshop concept for use in our own transfer programs.

Methodology

• Presentations by experts featuring illustrative examples.
• Introduction to the SCALE-MX Maturity Model for Data Ecosystems.
• Discussion and exchange on data room readiness for businesses and the successful conduct of workshops.
• Instructions and materials available for free use in your own transfer services.