Govern datasets, data posture, preparation, snapshots, training inputs, access, and lineage. Strata remains separate from Relay.
An illustrative governed dataset
Dataset purpose, access, posture, and lineage remain explicit as operating information moves into a decision.
Illustrative workflow view. Controls and integrations depend on deployment.
Define how much information the platform may host or process. Strata remains part of the operating loop across integrate-only, hybrid, and hosted postures.
Give operating datasets a catalog, purpose, preparation history, and controlled snapshots so downstream decisions use identifiable inputs.
Keep source references and model-input lineage visible as data is used. Relay supplies connections; Strata governs the datasets they support.
In practice
Operational data needs a defined owner, permitted use, and traceable history. Strata brings those decisions into the workflow before information becomes an input to reasoning or action.
Define the shipment, order, inventory, or staffing records needed for one operating decision. Make the permitted fields and access rules explicit so the workflow uses relevant information within its agreed scope.
Review which datasets may support features, training, or inference. Keep snapshot and source references connected so teams can inspect the information behind a model signal used in a recommendation.
Choose the appropriate integrate-only, hybrid, or hosted posture for the account. Establish which information stays in source systems and which information may be processed or retained in the platform.
How it works
A useful data boundary begins with the operating purpose. The first deployment defines that purpose, the eligible records, and the evidence needed to review their use.
Identify dataset ownership, account boundaries, permitted use, and the roles that need access. Agree the processing and retention expectations for the selected workflow.
Catalog the relevant datasets and preserve preparation history. Use identifiable snapshots where the decision or model workflow needs a stable view of its inputs.
Follow source references and input history as information supports the operating loop. A reviewer should be able to trace a decision input back to the dataset it came from.
Common questions
No. Strata governs the data plane across integrate-only, hybrid, and hosted postures. The posture changes where information is held and processed; it does not remove the need for purpose, access, and lineage.
No. A connection and model eligibility are separate decisions. Define the dataset purpose, access, preparation, and approval requirements before using it as a model input.
Strata is the governed data plane for Yedron operating loops. Existing data platforms can remain part of the customer environment, with the integration and processing boundaries agreed for each workflow.
Adoption starts with one workflow, the systems around it, the approvals it needs, and the outcome your team wants to improve.
Design a decision loop