≥ 30%
Target reduction in redesign decision cycle time
Trusted lineage and impact before risky warehouse changes
Understand blast radius before your next warehouse change.
OQEN helps data teams answer dependency and impact questions before schema changes, migrations, and redesign work. Recommendations stay advisory and human-reviewed.
Start with one active change request and see what depends on it, what could break, and what needs review before implementation.
Pilot-safe proof
These targets are measured in a scoped pilot against your current baseline, then reviewed with your delivery team before rollout.
≥ 0.90
Target blast-radius prediction accuracy
Scoped pilot
One blocked redesign decision to validate
Why OQEN
Stop reverse-engineering dependencies before every change.
OQEN is derived from a Latin phrase meaning "all that is necessary," reflecting our goal: give teams the context they need before they commit to change.
Teams lose time pulling engineers into dependency checks across schemas, SQL, DAGs, Python ETL, and tribal knowledge. OQEN constructs one trusted view before change approval.
Dependency checks pull engineers into manual investigations
Reconstruct one view across schemas, SQL, DAGs, and Python ETL so teams stop spelunking before every change.
Blast radius stays unclear until late
Answer lineage and impact questions before redesign, migration, or schema change commitments.
Redesign decisions are hard to defend
Keep guidance cited, advisory, and human-reviewed so architects, platform leads, and reviewers can approve change with context.
How it works
From fragmented context to review-ready decisions.
- 01
Ingest metadata and pipeline logic
Capture the warehouse metadata and workflow logic behind the change.
- 02
Build trusted lineage and impact context
Create one view of dependencies, transformations, and likely blast radius.
- 03
Review guidance before implementation
Use AI-assisted explanations and design options as advisory input, not auto-applied change.
Human-reviewed guidance
AI recommendations stay advisory and human-reviewed. Teams review guidance before implementation, not as auto-applied change.
Start with one blocked redesign decision.
Book a guided demo for one active migration, schema change, or model-rationalization decision. Use self-serve mode if you want to explore first.