Enterprise Metadata Management Framework
InfoLibrarian™ provides a comprehensive framework for managing metadata across your enterprise. Our platform enables you to capture, govern, and leverage metadata to drive business value.
Connect Everything. Govern Anything. Accelerate Insight.
In today’s data-driven enterprise, metadata integration and governance are essential for success. The InfoLibrarian™ Metadata Management Framework delivers an enterprise-ready, scalable metadata solution that unifies, governs, and activates metadata from across your data landscape—including data catalogs, cloud platforms like AWS, Azure, Databricks, and Snowflake—plus business intelligence tools.
The InfoLibrarian™ Metadata Framework Advantage
Our framework isn't just methodology—it's a complete metadata ecosystem combining:
InfoLibrarian™
Building Blocks for Enterprise
Metadata Management and Data Governance
Technical
Metadata Aspect
- Big data metadata
- Metadata ingestion
- Schema & models
- Data lineage
- Impact analysis
- Computational
- Operational metrics
Business
Metadata Aspect
- Modeling
- Business glossary
- Taxonomies
- Semantics
- Data products
- Stewardship workflows
- Data marketplaces
Enterprise Data
Marketplace Aspect
- Single sign-on
- Governance dashboards
- Business perspectives
- Consumer workflows
- Democratization
- Shopping experience
- AI Chat UX
Metadata Management program
Operational
observability
Stewardship &
product lifecycle
Metadata
platforms
Data Products Operating Model
Transform your data into governed, discoverable products. Our framework enables end-to-end lifecycle management—from design and development to deployment and monitoring.
- ✓ Product Design & Development
- ✓ Quality & Contract Management
- ✓ Stewardship & Governance
- ✓ Monitoring & Optimization
Our comprehensive approach to data product management and stewardship, showing the complete lifecycle from business requirements to implementation.
Read more about Data Products
Data Product Owner
Business Use Case
Requirements, Outcomes and ROI
Assign Team
Data Stewards and Technical Resources
Define Data Contract
Schema, KPIs, SLAs, Data Quality Requirements
Data Steward
Build Reusable Framework
Data Product Catalog
Tracks Entire Lifecycle
Data Governance
Enforce Compliance & Data Policies
Data Quality
Monitor, Improve & Maintain Quality
Security
Oversee Data Access & Protection
Manage Metadata
Update Catalog & Documentation
Data Steward
Lifecycle Management
Oversee Data Product Evolution
Collaboration
Stakeholder Engagement & Reporting
Data Engineer
Data Producer Templates
Standardized Development
Self Service Templates
Data Contract Implementation
DataOps Integration
Quality & Deployment Automation
Product Creation
New Data Product Development
InfoLibrarian® Enterprise Metadata Management Framework
A Modern, Modular Foundation
- ✓ Metadata Integration: Connect and unify metadata from diverse sources across your ecosystem.
- ✓ Governance & Compliance: Enforce policies, track lineage, and maintain audit trails.
- ✓ Data Product Enablement: Transform metadata into actionable data products.
- ✓ AI & Analytics Acceleration: Fuel AI initiatives with trusted, governed metadata.
- ✓ Cloud & Hybrid Support: Seamlessly operate across cloud and on-premises environments.
Stewardship Ownership Models
Define clear roles and responsibilities for effective data stewardship within your organization. Our framework guides you through various ownership models to ensure accountability and successful data governance.
- ✓ Centralized & Decentralized Models
- ✓ Hybrid Stewardship Approaches
- ✓ RACI Matrix Implementation
- ✓ Training & Adoption Strategies
Built for Open Integration
Use our framework to:
- ✓ Metadata Integration: Connect and unify metadata from diverse sources across your ecosystem.
- ✓ Governance & Compliance: Enforce policies, track lineage, and maintain audit trails.
- ✓ Data Product Enablement: Transform metadata into actionable data products.
- ✓ AI & Analytics Acceleration: Fuel AI initiatives with trusted, governed metadata.
- ✓ Cloud & Hybrid Support: Seamlessly operate across cloud and on-premises environments.
Scalable for Real-World Complexity
- ✓ Metadata Integration: Connect and unify metadata from diverse sources across your ecosystem.
- ✓ Governance & Compliance: Enforce policies, track lineage, and maintain audit trails.
- ✓ Data Product Enablement: Transform metadata into actionable data products.
- ✓ AI & Analytics Acceleration: Fuel AI initiatives with trusted, governed metadata.
- ✓ Cloud & Hybrid Support: Seamlessly operate across cloud and on-premises environments.