Data Governance Hub
Asset inventory, classification and grading, and compliance auditing make data affordable and controllable
China's Data Security Law explicitly requires a data classification and grading protection system, and the GB/T 43697-2024 national standard took effect in October 2024 — data governance is no longer an elective you can postpone. The Data Governance Hub centers on metadata management and covers the entire data lifecycle from generation to governance, service and operations: one-click asset inventory, AI-driven sensitive data grading, automatic quality remediation and end-to-end compliance auditing, so your data is both usable and governable.
98.6%
Sensitive data detection coverage
Full Funnel
Access audit trail
DCMM
Four-tier capability benchmark*
*Based on public industry case studies; subject to actual testing.
Total data assets
2,847items registered
98.6%
Sensitive data detection coverage
94 points
Overall governance score
Level 4
Data classification and grading (GB/T 43697)
7×24
Full-chain audit trail
Runaway data is becoming a compliance black hole for companies
Four chronic data governance problems leave data both unusable and unmanageable.
Unclear data holdings
Data is scattered across dozens of systems, and no one can say exactly what data the company has, where it lives or who uses it.
Sensitive data left exposed
ID numbers, bank accounts and biometric data sit in business tables with no grading, masking or authorization.
Quality out of control
Inconsistent definitions and dirty data make reports contradict each other, leaving decisions built on sand.
Compliance in doubt
MLPS 2.0, the Personal Information Protection Law and the Data Security Law require audit trails that manual ledgers cannot satisfy.
Twelve capabilities covering the entire data governance chain
Inventory, classification, quality improvement, and compliance: a tightly linked governance loop.
Metadata Management
Automatic metadata collection, lineage analysis and impact analysis provide unified management of business, technical and administrative metadata.
Data Asset Inventory
A unified asset catalog comprehensively collects and visualizes data sources, structure, lineage and usage.
Data standards management
Standard definition, query and publication with master data standards unify core business entity data.
Data quality management
Rule definitions (non-null, uniqueness, consistency) plus automatic checks and quality reports, with dual AI engines for automatic repair.
Master data management
Master data request, publication and distribution establish enterprise "golden records" that eliminate cross-department discrepancies.
Data integration
Data processing, transformation and aggregation bring massive structured and unstructured data into one lake.
Data classification and grading
Automatically identifies sensitive data per the GB/T 43697-2024 national standard, with intelligent grading from the rule library.
Data security management
Access control, data masking and encryption provide tiered authorization and protection for sensitive data.
Data lineage analysis
A data map plus lineage tracing makes cross-system data flows clear at a glance.
Lifecycle management
Manage archiving and destruction end to end, cutting storage costs and leak risk.
End-to-end Audit
Audit logs record access, modification and routing end to end, meeting China MLPS 2.0 and GDPR requirements.
Asset service operations
Data asset cataloging, service and approval let governed data flow securely to create value.
Affordable to use and easier to control
Your data holdings clear on one screen
Automatic metadata collection plus a unified asset catalog inventories 32 data sources in one click, with clear ownership for every asset.
Accurate graded identification
The national-standard rule library identifies sensitive data intelligently, tags classification and grading automatically, and applies masking by role.
Automatic quality improvement
Dual AI engines detect and repair automatically, keeping one golden master record with consistent, traceable definitions.
Compliance Assured
End-to-end audit logs and automatically generated compliance reports make MLPS 2.0 and regulatory inspections easy to handle.
Four typical scenarios that hit real business pain points
Asset inventory, classification and grading, and compliance auditing: four data governance scenarios that are affordable and controllable
Data Asset Inventory
Typical Scenarios
Classification-based protection
Typical Scenarios
Compliance audit trail
Typical Scenarios
Data quality improvement
Typical Scenarios
Compliance is the baseline; data is an asset
Compliance risk avoidance
Aligned with Article 21 of the Data Security Law and the GB/T 43697-2024 national standard, putting a classification and grading protection system in place.
Cut Costs, Boost Efficiency
Automated integration and cleansing in a consistent data environment reduce labor and cross-department communication costs.
Asset appreciation
Breaking down data silos, governed high-quality data flows securely to unlock asset value.
Our Advantages
Full Lifecycle
Covers the closed loop from data generation to governance, service and operations — governance is not a one-off project
Dual AI engines
Automated data quality detection and repair, with LLM integration powering smarter governance
Penetrating supervision
Entity recognition, lineage tracing and dynamic metric calculation penetrate cross-system data layer by layer
National-standard alignment
Aligned with the DCMM capability maturity model and the GB/T 43697-2024 classification and grading standard
Enterprise-grade deployment with security and compliance assured
From deployment model to data security, we vet the decision for large-enterprise procurement.
Public cloud SaaS
Ready out of the box with on-demand subscription and minute-level activation, ideal for teams that need to launch fast.
On-premise Deployment
Data never leaves the enterprise, with support for intranet and private cloud environments that meet the requirements of finance, government and other sensitive sectors.
Hybrid cloud architecture
Core data stays local while elastic compute scales in the cloud, balancing security and cost.
All-in-one appliance delivery
Integrated hardware and software work out of the box with no maintenance or integration work, ideal for branch offices and edge scenarios.
Data encryption
TLS encryption in transit, AES-256 at rest, with complete key custody and rotation policies.
Permission control
Fine-grained RBAC permissions plus SSO single sign-on: one identity per person, authorized on demand.
End-to-end Audit
Full, traceable operation logs that satisfy internal control and regulatory inspection requirements.
Compliance certification
Supports MLPS 2.0, the Personal Information Protection Law, GDPR and other compliance requirements, with ongoing tracking of regulatory changes.
Better Together
CONTRACT GUARDIAN
Contract Guardian
AI contract risk review: clause comparison, risk annotation and version tracking to safeguard every contract
PUBLIC OPINION
Public Opinion Tower
Real-time sentiment monitoring across the web — alerts, tracing and analysis — to catch and handle brand risks early
CUSTOMER CARE
Customer Care
Omnichannel AI support: instant replies, tiering and human escalation, with service quality auditable end to end
Make data affordable to use and easier to control
Book a demo to experience the AI-driven Data Governance Hub.
This page is a product design concept. Features and data are based on industry research; actual capabilities are subject to the official release.