Smart Data Quality (SDQ)
Integrated Rule Builder
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.
Self-service checks that scale with your portfolio
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.
Why teams choose the Integrated Rule Builder
Self-service authoring
Data teams build and maintain DQ checks inside SDQ with no dependency on a separate system.
Code once, reuse across studies
A reusable check library cuts setup time on every new study.
Source-system agnostic
The same check applies across multiple source systems.
Complements AI
Rule-based checks run alongside AI-driven detection so nothing slips through.
Code once
How the Integrated Rule Builder works
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.
Features
No external development environment required.
Checks are portable across studies and sources.
One check definition spans multiple source systems.
Standardize checks once and apply them everywhere.
Coded and AI checks operate together.
