Data Observability

Explore data with self-service discovery

Obtain an in-depth understanding of your data landscape and dependencies with intuitive self-service data discovery. These capabilities help you quickly and easily profile data and leverage automated semantic tags.

Avoid impacts from data downtime

Identify issues in real-time and fix them faster. Sophisticated machine learning intelligence powers analysis that proactively identifies data anomalies and outliers.

Alerts are automatically created to inform the appropriate team members, enabling efficient remediation when issues occur. That means greater data reliability and limited impacts from data downtime across the organization.

Increase confidence in data-driven decisions

Proactively identify data drift and shift to allow timely action around your critical data pipelines – and in support of modern data management strategies like data fabric or data mesh.

Address any unexpected changes in the data, increase the accuracy of your advanced analytics, and be confident in your data-driven decisions and recommendations. This helps data engineers and data scientists ensure the best possible output and outcomes.

Integrated data catalog

The Data Catalog is key to your success with the Data Integrity Suite.

It synthesizes all the technical details around your organization’s data assets and arranges the information into a simple, easy-to-understand format. Once cataloged, you can create observations on any data asset.