Key Capabilities

Data Product Creation

Users can create data products by creating structured data products and having those automatically registered in Collibra. Data products may include:

• Raw or foundation data products
• Derived Fields
• Fused data products combining multiple sources
• AI-enriched data models
• Analytical or operational data products

The workbench enables users to define the structure, fields, and relationships of a data product using metadata rather than complex engineering pipelines.

Governance Integration

The Data Product Workbench is tightly integrated with Collibra governance capabilities. Each data product inherits governance attributes such as:

• Ownership and stewardship
• Business definitions
• Data classification
• Security policies
• Lineage relationships
• Data quality rules

This ensures that all data products remain aligned with enterprise governance standards.

Security and Policy Enforcement

Access to data products is controlled through policy-based governance integrated with Collibra. This includes:

• Role-based access controls (RBAC)
• Attribute-based access controls (ABAC)
• Policy-based access controls (PBAC)
• Fine Grained Access Controls (FGA)
• Audit logging

Policies defined within Collibra can be automatically enforced when users or systems access the data product.

Metadata-Driven Data Access

The Data Product Workbench uses metadata to dynamically generate the logic required to retrieve and assemble data products from underlying data sources. This approach:

• Reduces the need for complex data pipelines
• Allows faster creation of new data products
• Maintains alignment with governed data definitions
• Supports multi-source data environments

By default, data remains in its original source systems while being logically composed into data products through the metadata layer. Where required, customers can choose to create an Accelerate copy for a specific data product, and governance controls continue to apply to it.

Data Product Sharing and Consumption

Once created, data products can be securely shared across the organization. Consumers may include (but not limited to):

• BI tools (PowerBI, Tableau, Omni, Looker etc)
• AI agents
• Gen AI. (LattticeGPT, Claude, Gemini etc)
• Slack / Microsoft Teams
• Data science environments (ML/AI/LLM)
• Operational systems (Salesforce / ServiceNow)

The workbench provides standardized interfaces that allow data products to be consumed consistently across platforms.