Governed supply
A Data Product is more than data.
- Data and content
- Semantic models
- Interfaces and ports
- Provenance and quality
- Ownership and policies
- Dependencies and service levels
- Offers and commercial terms
Supply meets demand
Legra is the data logistics infrastructure that connects them. It turns demand from a project document into a machine-readable, executable package—and turns supply from a dataset into a governed product that can be safely put to work.
A governed product should become as easy to find, acquire, and integrate into a business process as a software package is to add to a project. But its meaning, ownership, authority, contractual terms, provenance, and economic value must travel with it.
Complementary packages
Governed supply
Machine-readable demand
Precise agreements
Describes a Data Product port: what can be consumed, in which shape, and through which technical interface.
Binds provider and consumer to rights, duties, service levels, delivery conditions, and prices.
Formation surface planned
Defines the typed inputs, outputs, persona, and behavior of one stable unit of business work.
From catalog to outcome
01
A provider describes a maintained Data Product, its ports, dependencies, quality, policies, and offer.
02
A consumer models the outcome, people, concepts, data requirements, behavior, policies, and tests as a reusable Use Case.
03
Federated catalogs can match semantic demand to suitable products, transformations, and services—not merely keywords.
Planned surface
04
The parties establish the applicable interfaces, rights, duties, delivery terms, authority, and complete price.
Planned surface
05
Legra resolves dependencies, brings authorized knowledge into context, and invokes the relevant Stories or Workspace App capability.
06
Journal evidence connects execution and results to actors, inputs, authority, changes, costs, and value flows.
Knowledge in data and code
Concepts, facts, rules, shapes, policies, Stories, workflows, and tests become linked graph knowledge where modelling adds value. Specialized or existing code remains a first-class participant through typed Story boundaries.
The Story keeps meaning, inputs, outputs, authority, provenance, tests, and economic context in the living graph while the selected implementation can evolve.
Methods and standards
The Data Product Ontology provides a standards-oriented foundation for describing Data Products and their contracts. Legra extends the operational route around them.
Visit the DPROD workgroupThe Use Case Tree Method makes business demand composable and connects outcomes to the knowledge and behavior required to deliver them.
Explore the method