Unified governance across structured, semi-structured, and unstructured data
Data Governance provides a single control plane for data quality, lineage, access, and compliance across your entire data estate. Enforce policies consistently whether data lives in warehouses, lakes, or document stores.
Define and enforce data policies with built-in support for GDPR, CCPA, SOC 2, and custom regulatory frameworks. Automated auditing keeps you audit-ready at all times.
Track data from source to consumption across every transformation. Visual lineage graphs make impact analysis and root-cause debugging effortless.
Auto-discover and classify assets with AI-powered tagging. Business users find trusted data in seconds through natural language search.
Role-based and attribute-based access control with multi-tenant isolation. Column-level security and dynamic data masking protect sensitive information without slowing teams down.
Register databases, object stores, APIs, and document repositories into a unified metadata layer with zero data movement.
AI-driven scanners profile your data, detect PII, apply sensitivity labels, and build a searchable catalog automatically.
Set access rules, quality thresholds, retention schedules, and compliance mappings through a visual policy editor.
Real-time dashboards track policy compliance, data quality scores, and access anomalies — with alerts routed to the right teams.
Automated evidence collection and pre-built compliance reports reduce audit preparation from weeks to hours.
Quality-scored, lineage-tracked data means your AI models and agents operate on a verified, reliable foundation.
Proactive policy enforcement and anomaly detection catch issues before they impact downstream consumers.
Business users request and receive governed data access in minutes instead of filing tickets that take days.
Data Governance operates as a metadata-driven control plane layered across your entire data infrastructure. It connects to sources via lightweight agents, centralizes metadata in a unified graph, and enforces policies at query time with zero performance overhead.
As AI reaches government services, petabytes of raw government data have to become usable, high-quality corpora. SZSC built a provincial government corpus governance platform on MOI covering cleansing, annotation, quality inspection, classification and compliance review end to end.
A platform is only worth what it can collect. Rather than buying interfaces, Baoshan uses MOI to extract raw data directly from each institution's database or standby replica, then integrates it into the 17 business domains of the municipal shared data set.
See how Data Governance unifies policy, quality, and access management across every data source in your organization.