Transform how your organization delivers data. InfoLibrarian™ enables you to create, govern, and publish trusted data products that are discoverable, requestable, and accountable—right from the source. With metadata-driven governance, quality controls, and ownership embedded across domains, you can shift left and manage data like a product.
Don't wait for data issues to surface downstream. Enforce contracts, SLAs, and quality rules at the edge of your ecosystem—whether on-prem or in the cloud. InfoLibrarian Studio™ helps stewards model data product lifecycles, define business metadata and semantics, and prepare metadata views for
enterprise data marketplaces aligned with
data mesh principles.
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What is Data as a Product?
"Data as a Product" means managing datasets with the same rigor as a customer-facing product: clear ownership, guaranteed quality, defined contracts, and easy discoverability. Each data product is accountable to consumers through SLAs, documentation, and governance policies.
Data Product Lifecycle & Data Stewardship Framework
1. Define & Design
- ✓ Business requirements & use cases
- ✓ Data product specifications
- ✓ Quality rules & SLAs
- ✓ Ownership & stewardship
2. Develop & Test
- ✓ Data contracts & schemas
- ✓ Quality validation rules
- ✓ Lineage & dependencies
- ✓ Documentation & metadata
3. Deploy & Monitor
- ✓ Production deployment
- ✓ Quality monitoring
- ✓ SLA tracking
- ✓ Usage analytics
Generalized Data Product Operating Model
Product Management
- ✓ Product strategy & roadmap
- ✓ Requirements & specifications
- ✓ Release management
- ✓ User feedback & iteration
Engineering
- ✓ Data pipeline development
- ✓ Quality implementation
- ✓ Testing & validation
- ✓ Deployment & operations
Governance
- ✓ Policy enforcement
- ✓ Compliance monitoring
- ✓ Risk management
- ✓ Audit & reporting
Strategy in Action: Data Product Operating Model
Our advisory services aren't theoretical — they're embedded directly into a modular, metadata-driven platform. See how data stewardship, governance, and domain-driven design come together in our operational model for trusted data delivery.
View Data Product Operating Model
Why It Matters
- Improve trust and reusability across teams
- Simplify discovery through metadata and catalogs
- Promote accountability through ownership models
- Enable scalable governance in data mesh architectures
Sample Metadata-Driven Data Product Definition
{
"urn": "urn:product:customer_orders",
"schema": {
"order_id": "string",
"customer_id": "string",
"order_date": "date",
"total": "decimal"
},
"dq_rules": {
"order_date": "must not be in future",
"total": "must be >= 0"
},
"sla": {
"availability": "99.9%",
"freshness": "daily by 8am"
},
"business_metadata": {
"domain": "Sales",
"description": "Captures all customer order and revenue events.",
"product_owner": "sales-analytics@company.com",
"tags": ["sales", "orders", "revenue"]
}
}
Each data product is governed by metadata-enforced data contracts to ensure quality and compliance.
#DataAsAProduct #MetadataGovernance #DataMesh #DataCatalog #DataQuality #InfoLibrarian
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Explore Related Topics
Follow the links below to see how InfoLibrarian™ can help you to capture and manage enterprise metadata.
Expert Data Governance Consulting
Metadata Management Products