Data Spaces

Why?

Data Space provide a secure and standard-based data exchange solution where you remain in control of your data, while significantly reducing your integration efforts with customers, partners and suppliers.

What?

Through our one-day, virtual Data Space Master Class we create awareness across all levels in your organization what Data Spaces are, what their business value is and how you introduce them into your digital landscape.

The Data Space Assessment looks at Data Space readiness against industry standards and best practices, e.g. Gaia-X/ IDSA reference architectures or the Catena-X data space implementation.

A Data Space Strategy describes your vision of Data Spaces and uses a DS Maturity Model to plan a roadmap from where you are to where you want to go. It also covers topics like changes to your current operating model, digital landscape and solution development processes.

The Data Space Architecture describes the execution of your Data Space Strategy and is therefore often created in a project covering both, strategy and architecture. The architecture describes the future digital landscape required to implement business use cases that use Data Spaces for implementing an end-to-end solution.

During the Data Space Implementation, we support our clients with technology agnostic capabilities like project management, business analysis, solution architecture and solution/product QA.

How?

• Our advisory work is outcome based, meaning you get a fixed price for a set of specified deliverables. This helps you manage your budget better.
• We use standards and industry best practices to shape our work. This ensures interoperability as well as the availability of enough skilled resources for implementation.
• We also use reference frameworks, architectures and models to maximize re-use of existing open-source IP, accelerating development for project deliverables.
• In all our engagement we use GenAI and AI Agents to augment our consultants. This improves the productivity but also provides more relevant insights and functions as a QA mechanism.
• From a way of working perspective, we prefer a Design Thinking approach and Agile/Scrum for project delivery.