Data Quality
Build Trust in Every Data-Driven Decision
In a world where data drives strategy, operations, and innovation, poor data quality can cost more than just time — it can cost trust. Yavantha’s Data Quality module empowers your teams to proactively monitor, manage, and improve data quality across your entire ecosystem
Proactive Monitoring, Not Reactive Fixes
Stop chasing errors after they’ve caused damage. Yavantha enables continuous data quality monitoring with:
- Customizable rules and thresholds for accuracy, completeness, consistency, and timeliness
- Automated anomaly detection using statistical and machine learning techniques
- Real-time alerts to notify the right people when issues arise
Rule-Based and Intelligent Validation
Whether you need strict rule enforcement or adaptive intelligence:
- Define business-specific validation rules with AI generated code
- Leverage AI-assisted suggestions for common quality checks
- Apply context-aware rules based on data lineage and usage patterns
"We no longer wait for reports to break — Yavantha tells us before they do."
"Our data stewards and engineers now speak the same language."
Collaborative Issue Resolution
Data quality is a team sport. Yavantha makes it easy to:
- Assign and track data quality issues with built-in workflows
- Collaborate across teams with commenting and version history
- Document root causes and resolutions for future reference
Quality Metrics That Matter
Track what matters most with:
- Dashboards showing quality scores by domain, source, or owner
- Trend analysis to monitor improvements over time
- Impact analysis to understand how quality issues affect downstream systems and decisions
