Applied subject / System boundaries
Built to work with the systems you already have.
DDI does not require organisations to replace their GIS, databases, analytics platforms, operational software or AI systems. We construct and maintain reliable data infrastructure that those existing systems can consume.
Review the principles
01 / Delivery
Use the data where it is needed
Delivery should fit the destination.
DDI data infrastructure can be delivered through APIs, data feeds, bulk extracts, cloud delivery and suitable enterprise integrations.
The delivery method can be matched to the customer’s analytical, operational or AI environment while preserving identifiers, source attribution, provenance and appropriate access boundaries.
02 / Existing environments
Identifiers can coexist
Existing systems remain useful entry points.
Existing organisational identifiers can remain entry points into the constructed data infrastructure. DDI does not require a customer’s source systems to adopt a new internal identifier simply to access wider context.
- GIS and spatial systems
- Spatial and object information.
- Analytics and BI environments
- Structured analytical use.
- Operational applications
- Information at the point of work.
- Enterprise data platforms
- Maintained data foundations.
- Internal software
- Purpose-built organisational use.
- AI assistants and intelligent systems
- Attributed context for automated use.
- Data science and research environments
- Discoverable, interpretable information.
03 / Boundary model
Preserve, organise, expose
A source-neutral view does not require source amnesia.
Source systems can retain their own identifiers and representations. An information layer can organise identity, relationships and context while keeping attribution available. Consumers then meet a subject-oriented boundary without needing to interpret every source's internal structure.
04 / Governance
Meaning includes conditions of use
Source rights and provenance remain part of the infrastructure.
Reliable data delivery also requires understanding where information came from, how it may be used, what attribution applies and where third-party restrictions or access boundaries exist.
DDI treats provenance and source governance as part of the constructed data infrastructure rather than stripping them away during integration.
Continue / Context
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