A self-service rule builder lets your team code data-quality checks directly in SDQ and apply them across studies and source systems — alongside AI-driven checks.
SDQ’s Integrated Rule Builder lets users code data-quality (DQ) checks directly within the platform — no external tooling, no hand-offs. Checks can be coded once and reused across multiple studies and source systems, and they run in conjunction with SDQ’s AI-driven checks for complete coverage. The result is a consistent, reusable library of checks that scales with your portfolio instead of being rebuilt study by study.
Data teams build and maintain DQ checks inside SDQ with no dependency on a separate system.
A reusable check library cuts setup time on every new study.
The same check applies across multiple source systems.
Rule-based checks run alongside AI-driven detection so nothing slips through.
Reuse across studies and source systems
Self-service DQ checks that run alongside AI-driven checks
The rule builder fits cleanly into the existing data-quality workflow.
Code a DQ check directly in SDQ using the self-service builder — or generate it with the Data Quality Co-Pilot.
Validate the check against study data before it goes live.
Rules and AI, together. Coded checks run in conjunction with AI-driven checks, giving you both deterministic and model-based coverage in one pass.
Rules and AI, together. Coded checks run in conjunction with AI-driven checks, giving you both deterministic and model-based coverage in one pass.
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