Bridge the gap between documented data policies and actual system behavior. Add automated quality monitoring that proves compliance and drives accountability.
The obstacles data governance teams face in enforcing quality standards.
Data quality policies exist on paper but aren't enforced in systems
No clear ownership or accountability for data quality issues
Manual processes for identifying and escalating data quality problems
Difficult to demonstrate compliance with data quality standards to auditors
Data quality metrics are either missing or not trusted by stakeholders
Neomir adds enforcement to your data governance framework.
Quality Enforcement
Quality Enforcement
How Neomir features support your data governance program.
Challenge
Data quality policies aren't automatically enforced or monitored
Data Quality Monitoring
Solution
Continuous monitoring against defined data quality policies with automated violation detection
Challenge
Data lineage shows where data flows, but not whether it maintains quality
Cross-System Validations
Solution
Cross-system validation adds quality checkpoints throughout your data lineage
Challenge
Creating data quality rules for every dataset is too time-consuming
Neomir AI
Solution
AI-assisted rule creation accelerates policy implementation across your data estate
Challenge
Business glossary defines standards but systems don't enforce them
Custom Rules
Solution
Custom rules translate governance policies into automated, enforceable checks
Built-in capabilities for policy enforcement and compliance.
Transform paper policies into automated checks that run continuously across your data estate.
Generate audit-ready reports showing policy compliance, violations, and remediation status.
Domain-level quality scorecards that governance teams can share with data owners.
Route violations to data owners with SLA tracking and escalation workflows.
Works with your existing data catalog and governance platforms.
Sync data quality metrics to your data catalog and governance platform
Enrich catalog entries with quality scores and validation status
Add quality context to data discovery and governance workflows
Integrate quality monitoring with Microsoft data governance
Route data quality issues through your existing ITSM workflows
Create tickets for data quality issues with owner assignment
See how Neomir can help turn your data governance policies into automated quality enforcement.