Integrated Platform for Enterprise Data Governance
Clush DataPortal
Clush DataPortal helps organizations standardize internal data, manage access, and ensure traceability—
establishing a reliable foundation for AI and enterprise analytics.
Key Capabilities
01
Data Standardization & Metadata Management
Define data standards, classification systems, and ownership roles for enterprise data assets.
02
Data Flow Visualization & Lineage Tracking
Monitor and visualize the entire data lifecycle from ingestion to utilization.
03
Access Control & Permission Management
Assign role-based access rights and track data usage history across the organization.
04
Data Quality Management for AI Operations
Apply data integrity and accuracy criteria to ensure reliable AI training and inference.
05
Policy-Driven Operational Automation
Automate data registration, access, and retention based on enterprise governance policies.
Recommended For
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Large enterprises with inconsistent data quality standards
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Organizations where multiple departments manage data redundantly
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Companies requiring trustworthy data for AI model training and analytics
How It Works
Use Cases
A Financial Institution
Challenges
Low metadata quality across departments, lack of assigned stewards beyond data owners, and weak linkage between IT and business metadata.
Solutions
Established a stewardship-support platform for metadata quality management, governance framework covering classification, ownership, and stewardship. Enabled unified IT–business metadata view with features such as search, recommendation, and personalization.
Benefits
• Governance scope expanded from HQ to enterprise-wide
• Increased data exploration and reuse
• Enabled pre/post analysis of business performance based on analytics insights
B Investment Firm
Challenges
Degraded dashboard metadata quality and low business metadata registration rate. High resource consumption due to repeated data extraction requests.
Solutions
Built a business metadata governance system, improved dashboard data quality, and introduced unified IT–business metadata access. Enabled self-service data request features and UX optimized for search and recommendation.
Benefits
• Boosted business metadata registration
• Reduced operational burden for dashboard management
• Lowered resource usage for data request processing
C Platform Company
Challenges
Low data standardization rate, inefficiencies due to manual handling via collaboration tools, and lack of governance awareness among end users.
Solutions
Automated the standardization request process and established a communication system for sharing governance policies. Implemented business metadata management tools.
Benefits
• Improved efficiency in data standardization workflows
• Increased data standardization coverage
• Enhanced awareness of governance policies among users