Data governance you can trust

Data governance is the strategic framework that establishes policies, processes, and roles to ensure your organization’s data remains secure, trusted, and compliant

Data governance encompasses:

• Creating consistent policies across your organization.
• Establishing clear roles and responsibilities for data stewardship.
• Implementing automated compliance and security controls.
• Building trust through quality indicators and lineage tracking.

Actian transforms data governance into an agile, automated framework that empowers data stewards to deliver trusted, compliant, and secure enterprise data at scale.

Data governance empowers an organization to scale data trust. It ensures that all teams, from analytics to the C-suite, are using the same reliable data.  .

In essence, data governance is important for four key reasons:

• Better Decision-Making: It establishes a “single source of truth,” providing leaders with reliable, high-quality data they can trust to make informed strategic choices.
• Improved Efficiency: It breaks down data silos and streamlines processes, reducing wasted resources and improving collaboration across the organization.
• Regulatory Compliance & Risk Mitigation: It provides the necessary controls to comply with regulations like GDPR and HIPAA, protecting the organization from costly fines and data breaches.
• Increased Data Value: By enforcing standards for quality and security, it turns raw data into a trustworthy asset that can be confidently used for analytics, AI, and building customer trust.

Ultimately, effective data governance unlocks the true potential of data, transforming it from a simple byproduct of business into a critical driver of innovation and competitive advantage.

Data governance provides the foundation that transforms AI into production-ready, trustworthy systems. Actian enables it through:

AI-Ready Data Foundation

• Comprehensive metadata management creates clean, accessible, and governed data.
• Automated context enrichment captures quality indicators needed for model training.
• Trust indicators enable AI teams to assess data reliability before deployment.

Knowledge Graph Intelligence

• A federated knowledge graph provides rich relationships and context.
• Business glossary integration ensures AI systems understand the semantic meaning.
• Automated relationship mapping supports advanced AI applications.

Production Readiness

• Consistent governance policies scale AI initiatives beyond isolated experiments.
• Quality metrics and lineage tracking enable confident model deployment.
• Automated compliance monitoring ensures AI systems meet regulatory requirements.

Without data governance, AI initiatives struggle to move from proof-of-concept to production deployment. Actian creates the metadata-rich environment that AI systems require for trustworthy, scalable implementation.

Actian Data Intelligence Platform provides a solution that enables your data teams to find, understand, and create a common understanding around data through:

Automated Intelligence

• Knowledge graph architecture that automatically understands data relationships.
• Smart classification recommendations for policy enforcement.
• Continuous scanning and metadata synchronization across the entire data ecosystem.

User-Centric Design

• Dual applications: Studio for data stewards, Explorer for business users.
• Marketplace-style discovery experiences that encourage data adoption.
• Context-rich documentation that eliminates governance friction.

Integration-First Architecture

• Seamless integration with existing data quality and infrastructure tools.
• API-first approach that supports custom workflows and automation.
• Synchronization with your current technology stack.

Learn more about the Actian Data Intelligence Platform.

Actian deliver comprehensive governance through:

Simplified Data Stewardship

• Template-driven documentation with a drag-and-drop interface.
• Custom properties and fields that align with organizational requirements.
• Collaborative documentation that allows teams to discuss data assets.
• Smart recommendations for reducing manual tagging overhead.

Regulatory Compliance

• Automated identification, classification, and management of data assets at scale.
• Centralized policy enforcement through a federated knowledge graph architecture.
• Comprehensive audit trails for compliance reporting.

Business Glossary Automation

• Consistent business language across all data consumers within the organization.
• Automated mapping between business concepts and technical assets.
• Interactive relationship visualization through a 360-degree view.

Learn more about data stewardship and our business glossary capabilities.

We facilitate regulatory compliance by automatically identifying, classifying, and managing sensitive data assets at scale. Our compliance capabilities include:

Automated Data Classification

• Smart detection of personal and sensitive information across your ecosystem.
• Suggested tagging and classification based on content analysis.
• Policy propagation through federated knowledge graph relationships.

Compliance Monitoring

• Policy enforcement across all connected data sources.
• Automated compliance reporting for GDPR, HIPAA, and industry regulations.
• Role-based access controls ensure appropriate data handling.

Audit and Transparency

• Complete lineage tracking for regulatory impact analysis.
• Comprehensive audit trails documenting all data interactions.
• Transparent documentation of data usage and transformation processes.

Learn more about regulatory compliance.

Actian delivers measurable business value through governance automation, enabling:

Operational Efficiency

• Reduced manual documentation overhead through automated metadata extraction.
• Faster project delivery through trusted, well-documented data assets.
• Elimination of data silos through centralized discovery and governance.

Risk Reduction

• Proactive compliance monitoring prevents regulatory fines.
• Automated data classification reduces security exposure.
• Complete audit trails support legal and regulatory requirements.

Innovation Acceleration

• Self-service data access empowers business users without compromising governance.
• Marketplace-style discovery encourages data reuse and collaboration.
• AI-ready foundation enables advanced analytics and machine learning initiatives.

Cost Optimization

• Elimination of duplicate data and redundant processes.
• Reduced dependency on technical experts for data access.
• Maximized value from existing data infrastructure investments.