Dictionaries and schemas as versioned artifacts
One home for each definition, with versions that are finalized, superseded, and exportable. The schema in the repository and the schema in the data warehouse stop disagreeing.
Industries we serve · Software
Governance for the data your product runs on.
Product and platform teams ship features on top of schemas, taxonomies, and reference data that rarely have an owner. When definitions drift between services, the defects land in production, and in every AI feature built on the same data.
What we do here
Software: the work.
Taxonomies and reference data with one owner
Classification trees and code lists modelled over the dictionary rather than copied into every service, so a change propagates instead of forking.
Validation gates in the pipeline
Definitions checked against the specification before they ship: offline validators in continuous integration, live gates before publication.
Integration contracts
Mappings between your internal model and the external standards your partners require, kept as data rather than as tribal knowledge.
How the disciplines apply
The same four disciplines, in this industry.
- Data architecture and standards
- The dictionary and its schemas are the contract every service reads from.
- Systems integration
- Services, warehouses, and partner APIs agreeing on the same identifiers and units.
- AI-ready data pipelines
- Governed, validated inputs are the difference between a feature that answers and one that hallucinates.
- Custom software
- Importers, exporters, and validators that turn a definition into something the pipeline enforces.
Where a product fits