Data architecture
Establish a coherent data architecture without centralising every domain.
LeanSignal defines shared semantics, metadata, lineage, provenance and exchange contracts so information can be reused across the enterprise while ownership remains clear.
What it solves
Move from data location to data meaning and responsibility.
The goal is not another architecture document. It is a system boundary that remains useful as technology changes.
- Enterprise and domain data architecture
- Shared semantic and domain models
- Explicit data and semantic contracts
- Metadata, lineage and provenance
- Ownership and governance models
- Machine-consumable enterprise context
Typical outputs
Current-state data landscape
Domain & ownership model
Semantic / contract model
Metadata & provenance architecture
Target federated architecture
Transition roadmap
Data-centric security
Governance that travels with the data.
Access and handling rules should not disappear when information crosses an application boundary.
LeanSignal designs identity and attribute context, classification, policy and provenance into the information architecture so controls can remain enforceable across distributed environments.
Identity & attribute context
Data classification
Policy contracts
Provenance & handling
Related capability
Shared structure without forcing shared implementation.
Domains can use different platforms and technologies while conforming to enterprise contracts for semantics, metadata, provenance and policy.