What is SAS Data Governance?
SAS Information Governance is now SAS Data Governance. SAS Data Governance is a data governance solution within SAS Viya that helps organizations discover, classify, track and manage data assets across cloud and on-premises environments. It provides data lineage, metadata management, data quality assessment and sensitive data detection (PII) to support trusted analytics, AI and compliance initiatives.
How SAS Data Governance works
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Govern enterprise data and AI assets at scale
Regardless of source or where data resides, enable users to find, understand and protect data across the enterprise. Connect business context to technical metadata using open standards. Give governance, analytics and AI teams a shared foundation they can rely on.
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Discover and understand enterprise data assets
Search across data, reports, models and other analytic assets using keyword or natural-language queries. With SAS Viya Copilot for Data Discovery, users can quickly understand what data exists, where it originates and how it’s used.
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Automatically detect and classify sensitive data
Detect and classify sensitive data – including PII – without relying on manual tagging. Apply consistent classification so governance policies follow the data, enabling safe reuse across teams and use cases.
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Assess data quality and data fitness early
Profile datasets and review quality metrics before they are used in models, reports or pipelines. Assess data health, semantic types and known issues early, so problems are addressed before deployment.
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Visualize data lineage and downstream dependencies
Track data from source to destination and see what depends on it. When upstream data changes, quickly identify affected models, reports and pipelines to support informed decisions and regulatory compliance.
SAS Data Governance key capabilities
SAS Data Governance provides a unified approach to data governance, metadata management and data intelligence across your organization. By combining data discovery, lineage, quality assessment, sensitive data classification and AI-assisted exploration, it helps teams trust, govern and operationalize data for analytics, AI and regulatory compliance. Key capabilities include:
- Enterprise data discovery and metadata management.
- Automated sensitive data detection and PII classification.
- End-to-end data lineage and impact analysis.
- Data quality profiling, scoring and monitoring.
- Business glossary and governance policy management.
- AI-assisted data discovery with SAS Viya Copilot.
Get to know SAS Data Governance
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Consume SAS como quieras: SAS gestionado o autogestionado. Y donde quieras.
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SAS Data Governance frequently asked questions
What is SAS Information Governance?
SAS Information Governance is the former name of SAS Data Governance. As part of SAS Viya, SAS Data Governance helps organizations discover, classify, manage and govern data assets across cloud and on-premises environments. It provides capabilities for metadata management, data lineage, data quality assessment and sensitive data detection (PII) to support trusted analytics, AI and regulatory compliance.
Is SAS Information Governance now called SAS Data Governance?
Yes. SAS Information Governance has been renamed SAS Data Governance. The solution continues to provide capabilities for data discovery, metadata management, data lineage, data quality assessment and sensitive data classification within SAS Viya.
Why did SAS rename SAS Information Governance to SAS Data Governance?
The new name better reflects the solution’s focus on governing data for analytics, AI and regulatory compliance across modern cloud and hybrid environments.
What is data governance?
Data governance is the practice of managing data throughout its life cycle to ensure it is accurate, secure, consistent and compliant with organizational policies and regulations. It includes activities such as data discovery, metadata management, quality assessment, lineage tracking, sensitive data classification and policy enforcement. Effective data governance helps organizations build trusted data for analytics, AI and business decision-making.
What capabilities are included in SAS Data Governance
SAS Data Governance provides capabilities for data discovery, metadata management, data lineage, data quality assessment, sensitive data detection and classification, governance workflows and AI-ready data management. These capabilities help organizations understand, protect and govern data assets across cloud and on-premises environments.
How does SAS Data Governance help organizations manage data?
SAS Data Governance enables organizations to locate and understand data across systems, evaluate its quality, track how it moves and changes, and apply consistent governance policies. This helps ensure data is accurate, secure and suitable for analytics, AI and business decision-making.
How does SAS Data Governance support AI governance?
SAS Data Governance supports AI governance by helping organizations establish trusted, well-governed data foundations for analytics and AI initiatives. By improving visibility, lineage, quality and protection of enterprise data assets, it helps teams support responsible AI development, reduce risk and strengthen regulatory compliance.
- Discover and understand data used in AI and analytics workflows.
- Trace data lineage to understand how data moves through pipelines, models and reports.
- Detect and classify sensitive data, including PII, to support privacy and compliance requirements.
- Assess data quality and fitness before data is used in AI models and decision-making processes.
- Apply consistent governance policies across cloud and on-premises environments.
- Support trusted, AI-ready data for more reliable analytics and AI outcomes.
How does SAS Data Governance identify sensitive data such as PII?
SAS Data Governance uses automated data discovery and classification techniques to detect sensitive data, including personally identifiable information (PII). This reduces reliance on manual tagging and ensures consistent application of governance and protection policies.
How does SAS Data Governance support data quality?
Users can profile data sets and review quality metrics – such as completeness, consistency and validity – before using data in analytics or AI workflows. This helps identify and resolve issues early, improving the reliability of downstream insights.
How does SAS Data Governance support data lineage?
Data lineage shows how data moves from source systems through transformations to downstream reports, models and applications. SAS Data Governance provides end-to-end lineage visibility, helping teams understand dependencies, assess the impact of changes, and support audit and compliance requirements.
How is SAS Data Governance different from SAS Information Catalog?
SAS Information Catalog has been renamed SAS Data Governance and now represents the foundational tier of SAS' data governance offering. It provides capabilities for data discovery, cataloging, metadata management and basic governance across enterprise data assets.
SAS Data Governance Advanced (formerly SAS Information Governance) builds on this foundation with more advanced capabilities, including data quality assessment, data lineage, sensitive data detection, policy management and governance automation.
Together, these offerings provide a tiered approach to data governance that helps organizations manage, protect and trust their data for analytics, AI and regulatory compliance.
Does SAS Data Governance work in cloud environments?
Yes. As part of SAS Viya, SAS Data Governance is cloud-native and cloud-agnostic, supporting deployment across major cloud platforms and on-premises environments.
