OpenText Content Metadata Service - Dictionary - Centric Integration and Automation

Common Integration Use Cases Between OpenText Content Metadata Service - Dictionary and Centric

OpenText Content Metadata Service - Dictionary and Centric complement each other well in organizations that need consistent product, asset, and content metadata across design, development, and downstream publishing processes. OpenText provides centralized governance for metadata definitions and controlled vocabularies, while Centric manages product lifecycle data and collaboration from concept to launch. Together, they help standardize product information, improve data quality, and reduce manual rework across teams.

1. Centralized product metadata governance for PLM and content repositories

Direction: OpenText Content Metadata Service - Dictionary ? Centric

Use OpenText as the master source for approved metadata fields, data types, and controlled values such as product category, material type, season, region, and compliance status. Sync these definitions into Centric so product teams use the same governed metadata structure during product development.

• Ensures consistent product classification across PLM workflows
• Reduces duplicate or conflicting field definitions between systems
• Improves reporting accuracy and downstream product data reuse

2. Standardized product attribute mapping for launch readiness

Direction: Bi-directional

Integrate Centric product attributes with OpenText metadata dictionaries to maintain a shared model for launch-critical information such as SKU, color, size, composition, and regulatory attributes. When Centric product data changes, the metadata dictionary can validate values and enforce approved terminology before content is published to other systems.

• Improves launch readiness by validating product data early
• Supports consistent attribute mapping across PLM, DAM, and publishing tools
• Reduces errors in product catalogs, ecommerce feeds, and packaging content

3. Controlled vocabulary for design and material libraries

Direction: OpenText Content Metadata Service - Dictionary ? Centric

Use OpenText to govern controlled vocabularies for design-related metadata such as fabric type, finish, silhouette, trim, and sustainability claims. Centric can consume these approved terms to standardize how designers, merchandisers, and product managers classify items in development.

• Improves search and filtering within product development workflows
• Supports more accurate material and design reuse
• Helps enforce brand and compliance terminology across teams

4. Metadata-driven handoff from product development to DAM and content operations

Direction: Centric ? OpenText Content Metadata Service - Dictionary

When a product reaches a milestone in Centric, key product metadata can be exported to OpenText-managed content environments to tag related assets such as spec sheets, technical documents, images, and launch materials. The dictionary ensures those assets inherit the same approved metadata structure used in PLM.

• Speeds handoff from product development to content production
• Improves asset findability and reuse in downstream repositories
• Reduces manual tagging effort for content and DAM teams

5. Compliance and regulatory metadata alignment

Direction: Bi-directional

For regulated or sustainability-sensitive industries, integrate compliance-related metadata such as country of origin, restricted substances, certifications, and claim approvals. OpenText governs the official metadata definitions, while Centric captures product-specific compliance data during development and sends updates back for enterprise content governance.

• Supports audit-ready product documentation
• Reduces risk of using outdated or unapproved compliance terms
• Improves coordination between product, legal, and governance teams

6. Seasonal and collection taxonomy synchronization

Direction: OpenText Content Metadata Service - Dictionary ? Centric

Retail and consumer goods organizations can use OpenText to define standardized season, collection, line, and assortment taxonomies. These controlled values can then be synchronized into Centric so product teams classify items consistently across planning, development, and launch cycles.

• Enables cleaner seasonal reporting and assortment planning
• Improves cross-functional visibility into product status by collection
• Supports consistent taxonomy across multiple business units and regions

7. Enterprise search and analytics consistency across product and content data

Direction: Bi-directional

Align metadata definitions between Centric and OpenText so product data and related content can be searched and reported using the same business terms. This is especially valuable for teams that need to analyze product development progress, content readiness, and asset availability in a single operational view.

• Improves search precision across product and content systems
• Enables more reliable dashboards and operational reporting
• Helps business users find the right product and content records faster

8. New product introduction workflow support

Direction: Centric ? OpenText Content Metadata Service - Dictionary

During new product introduction, Centric can publish milestone metadata such as concept approved, sample complete, costing finalized, and launch approved to OpenText-governed repositories. This allows content, marketing, and operations teams to tag launch materials with the same lifecycle status used in PLM.

• Improves coordination between product development and launch teams
• Provides a shared view of product readiness across departments
• Reduces delays caused by inconsistent milestone tracking