Master Data Management
Create and maintain trusted master records for critical enterprise entities.
Trusted and consistent master data across applications and processes.
DAIGOV brings data governance, Master Data Management, semantic governance, data quality, privacy, compliance, lineage, policy management, and AI governance into one unified platform.
It connects business meaning with technical metadata, establishes trusted master data, applies governance controls, and gives organizations visibility into how data and AI are managed across the enterprise.
AI-powered data & AI governance
DAIGOV connects the disciplines required to manage, understand, protect, and govern enterprise data and artificial intelligence in one governance operating environment.
Create and maintain trusted master records for critical enterprise entities.
Trusted and consistent master data across applications and processes.
Connect business meaning, terminology, ownership, and enterprise data structures.
A shared understanding of enterprise data across business and technology teams.
Provide a searchable, governed view of enterprise data assets and business terminology.
Users can find, understand, and correctly use enterprise data.
Measure, monitor, and improve the trustworthiness of enterprise data.
Higher trust in operational, analytical, and AI data.
Provide traceability across data sources, transformations, processes, and consumption.
Understand where data comes from, how it changes, and where it is used.
Help organizations understand and manage privacy, regulatory, and governance obligations.
Better visibility, traceability, and control of privacy and compliance obligations.
Manage governance policies, standards, rules, approvals, and accountability.
Translate governance principles into controlled and traceable enterprise practices.
Govern enterprise AI alongside enterprise data.
Scale AI with clearer accountability, visibility, controls, and responsible-use practices.
Reliable AI and analytics depend on reliable data. DAIGOV connects the core disciplines required to create trusted enterprise data rather than managing them as isolated activities.
DAIGOV helps bridge the traditional gap between business governance and technical metadata. Organizations can understand not only where data exists, but what it means, who is responsible for it, how it is governed, and where it is used.
Business context
DAIGOV semantic governance
Technical context
Know what enterprise data means.
Find data assets and information quickly.
Understand data quality and reliability.
Apply policies, rules, and governance responsibilities.
Understand lineage and dependencies.
Manage privacy, classification, risk, and compliance.
Maintain trusted master data.
Manage AI use, accountability, risk, and controls.
Governance performance, risk visibility, trust in data, AI oversight, compliance visibility.
Executive-level visibility into data and AI governance.
Glossary, policies, ownership, stewardship, controls, assessments, issues, compliance.
Centralized governance management.
Ownership, definitions, quality issues, approvals, governance actions, policies.
Clear responsibilities and actionable governance workflows.
Metadata, lineage, dependencies, quality, master data, technical context.
Connect technical implementation with governance context.
Sensitive data, compliance, privacy controls, risk, evidence, policy visibility.
A connected view of governance, privacy, and data risk.
AI use cases, ownership, risk, policies, responsible AI controls, data dependencies.
Govern AI as part of the broader enterprise data-governance environment.
DAIGOV uses AI to reduce manual governance effort, help users navigate complex governance information, and support more consistent decision-making.
AI supports governance decisions but does not remove human accountability.
AI supports governance decisions but does not remove human accountability.
Supporting capability
DAIGOV can help organizations assess governance maturity, evaluate compliance, organize evidence, identify gaps, and track remediation as part of the broader governance platform.
Maturity assessment
Compliance assessment
Evidence
Gap analysis
Remediation tracking
Roadmap
Reassessment
DAIGOV manages and connects governance capabilities such as metadata, master data, quality, policies, compliance, lineage, and AI governance. ARIA can provide a business-facing engagement layer above DAIGOV or other enterprise governance systems.

ARIA
ARIA · Intelligent Business Engagement Layer

DAIGOV
AI-powered data & AI governance
Other enterprise governance systems
ARIA can work with DAIGOV, and can also work with other enterprise platforms. DAIGOV does not require ARIA. The Enterprise Data & AI Platform is one possible technical foundation, not a mandatory component.
See how a unified governance platform can connect business meaning, technical reality, and responsible action.