Collibra Public Sector use case

Enterprise-wide data quality

Proactively address data issues to build trust in data and prevent mission disruptions.

Identify data-quality issues using automated profiling and monitoring to guarantee reliability. Leverage machine learning to analyze patterns and behaviors, pinpointing root causes and possible impacts. Ensure stakeholders are informed with proactive notifications for prioritized responses.

  • 12.9M

    Average organizational cost of poor data quality peryear.1

Key initiatives

Effortlessly develop and implement rules

Collibra Public Sector simplifies rule management through pre-built, adaptable rules and interfaces designed for agency-wide stakeholders.

Automated monitoring and assessments

Collibra Public Sector helps uncover hidden anomalies beyond typical data patterns. Through a suite of machine learning techniques, our platform automatically pinpoints both root causes and the resulting impacts.

Simplify notifications and responses

Collibra Public Sector provides comprehensive notifications, dashboards, and reports that provide stakeholders with essential context to ensure data issues are addressed before impacting the mission.

Learn how Collibra Public Sector can help

See Collibra in action

Learn more

The road to Data Confidence™. Get started today.