2 posts tagged with "strategy"

In the rapidly evolving landscape of data ecosystems, consulting companies play a pivotal role. Clients are no longer just asking "how do I store my data?" but "how do I share it securely and profitably?"

For consultancies, building expertise in dataspaces is now a critical investment. The European Commission and national governments are aggressively funding the development of data ecosystems to secure digital sovereignty. This public push is reinforced by a regulatory tsunami: the Data Act, enabling users to access data generated by their devices, and the Data Governance Act, creating a framework for neutral data intermediaries. These regulations are creating a new market reality where the ability to share data in a compliant, sovereign manner is a license to operate.

As a Cloud & Dataspace Architect working in the consulting sector, I see firsthand how organizations struggle to bridge the gap between their internal data silos and the collaborative potential of dataspaces.

This guide outlines how consulting firms can build a portfolio of value-added services (VAS) that enable clients to participate in dataspaces. We will cover the end-to-end journey: from establishing identity and security to defining data products, managing contracts, and leveraging regulations as a driver for adoption.

Data has become the primary raw material of digital business. Most organizations have learned how to collect, store, and analyze data internally. What they have not solved—at least not sustainably—is how to share data across organizational boundaries without losing control, sovereignty, or legal clarity.

This gap is no longer theoretical. The EU Data Act, the Digital Product Passport, and sector-specific regulations increasingly assume that organizations can exchange data in a controlled, auditable way. Meanwhile, AI-driven value creation and ecosystem business models depend on cross-company data access. The demand is structural. The infrastructure to meet it has been missing.

Dataspaces address this problem at the architectural level. Dataspace-as-a-Service (DSaaS) turns that architecture into something organizations can actually adopt—and something cloud providers can productize. This guide explains why trusted data sharing is becoming unavoidable, how the Eclipse Dataspace Components (EDC) stack solves the problem, and where DSaaS creates a concrete strategic opportunity.