Skip to main content

Data Sharing Platform Across Organizational Boundaries

Reality represented

An ecosystem view across organisations: who produces and consumes which data, how it flows, and how shared operational pictures are formed. We represent the real coordination surface — disruptions, maintenance, traffic, and interfaces — so multiple actors can act on the same up‑to‑date reality.

Client type​

National rail infrastructure ecosystem involving multiple organisations (operators, infrastructure managers, maintainers).

Situation​

The rail ecosystem spans multiple independent organisations with their own systems, processes, and governance. Critical operational data is distributed and access is often negotiated case‑by‑case, limiting shared situational awareness.

Challenge​

Siloed structures and complex interdependencies made it difficult to share data reliably, build a common operational picture, and respond effectively to shared challenges.

What we did​

  • Introduced a shared data model, interfaces, and access controls for secure inter‑org data sharing
  • Connected operational data on traffic flow, maintenance activities, and infrastructure disruptions
  • Published a common operational picture and APIs that each stakeholder could consume in their own tools
  • Combined technical enablement with collaboration practices so information could be used in daily operations

Scope and objectives​

  • Validate frameworks and ways of working for data sharing across organisational boundaries
  • Test secure access controls at organisation, role, and individual level
  • Use a common platform for digital representation and analysis
  • Evaluate business models and define requirements for a future, permanent platform
  • Build shared knowledge and experience across participating stakeholders

How we worked​

  • Established a multi‑stakeholder user group and a clear steering model for oversight
  • Met on a three‑week cadence to: review progress, onboard new data sources and features, demonstrate functionality, collect needs into a shared backlog, and evaluate the working model
  • Between sessions: onboarded additional data sources, exercised data sharing, and delivered targeted analyses and visualisations for themed workshops

Results​

  • Faster, coordinated responses to disruptions and shared challenges
  • Value created across the ecosystem that no single actor could realise alone
  • A repeatable blueprint: technical platform + collaborative structures for connected ways of working