- Masterclass "The opportunity of Data Spaces for the company"
- Strategic assessment of opportunities in data spaces
- Ecosystem analysis and benchmarking
- Ecosystem blueprint
- Strategic framework for ecosystem and data governance - Rulebook
- Parameterization of the data space under business and organizational requirements
- Technology architecture design
- Deployment and Operation of Operational Components

This service operates at the transition stage between strategic ecosystem definition and technological implementation. Its purpose is to translate business, organizational, and legal requirements —defined within the governance framework— into a functional architecture that serves as the foundation for the technical design of the Data Space.
DS·3 supports organizations in converting principles, rules, and governance decisions into concrete operational parameters: what types of actors exist, which roles they can assume, which data flows are allowed, what access conditions apply, and which control mechanisms must be activated.
Parameterization structures the Data Space from a functional perspective aligned with real business needs and regulatory obligations, ensuring that technology is not merely a technical enabler, but a coherent extension of the organizational and governance model.
This service provides a critical intermediate layer between strategy and platform, ensuring that the future technological architecture faithfully reflects ecosystem objectives, collaboration models, and core principles such as trust, data sovereignty, and control.
Deliverables:
- Stakeholder coalition/alignment model with the scope of the data space. The objective is to ensure a common understanding of the project scope, the challenges, and the goals to be achieved (so the business model is of special relevance).
- Use cases and identification of functional requirements. The precise definition of the use cases (and associated benefits) acts as a map for designing the data space.
- Organizational form model. Organizational and governance frameworks that ensure sustainability, including roles, responsibilities, and decision-making mechanisms (rulebook & rolebook).
- Functional analysis and design of the data space. Functional requirements are translated into a practical and useful design for the data space. This analysis includes the definition of interactions between participants, data flows, and the (minimal) technical capabilities required.
- Collection of agreements and policies of the data space. Collection of decisions related to the operation of the data space; the necessary regulatory frameworks are created.
This service guides the stakeholders through the essential steps necessary to design, establish, and continuously develop a data space. It is the key input for the design of the technological architecture.