Data democratization. Enhanced collaboration. Regulatory compliance.
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Employ enterprise-grade data and AI governance.
Regardless of the source or where the data resides, enable users to find, catalog and protect data that is most valuable for analysis. Create a shared understanding of data using a business glossary. Integrate with broader governance initiatives using the Open Metadata Standard.
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Discover information assets with ease.
Find data, reports, models and other analytics assets using Google-like keyword search. Tag sensitive data for compliance. With a user-friendly data catalog, teams can quickly access and evaluate asset fitness, avoid rework and make informed choices in a secure and governed environment.
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Evaluate data fitness.
Ensure the usability of data sets with data profiling. Assess data health, evaluate column-level data quality metrics, and view semantic types for columns using advanced data classification. Identify sensitive personal data (such as PII) with an embedded information privacy assessment.
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Analyze impact with data lineage.
Get a bird’s eye view on assets, sources and outputs, along with their relationships. Track the movement of data through the data pipeline and identify affected assets from source to destination. Respond confidently to regulatory requirements by providing visibility across the analytics life cycle.
