OpenText Content Metadata Service - Canto Integration and Automation

Common Integration Use Cases Between OpenText Content Metadata Service and Canto

• 1. Standardized metadata synchronization for digital assets

  Direction: OpenText Content Metadata Service ? Canto

  Use OpenText Content Metadata Service as the master source for approved metadata schemas such as campaign, product, region, language, rights, and retention fields, then push those definitions into Canto. This ensures marketing teams tag assets consistently across the DAM and reduces duplicate or conflicting metadata structures.

  Business value: Improves search accuracy, supports governance, and reduces manual rework when assets are shared across teams and channels.

• 2. Asset classification and taxonomy alignment across repositories

  Direction: Bi-directional

  Synchronize classification models between OpenText Content Metadata Service and Canto so that assets stored in Canto can be categorized using the same enterprise taxonomy used in OpenText Core Content and related repositories. When a new classification is introduced in one system, it is propagated to the other to keep both environments aligned.

  Business value: Enables consistent enterprise-wide content discovery and supports cross-platform reporting, compliance, and content reuse.

• 3. Marketing asset intake with governed metadata validation

  Direction: Canto ? OpenText Content Metadata Service

  When marketing uploads new assets into Canto, the integration can validate required metadata against OpenText rules before the asset is approved for broader enterprise use. Missing or invalid fields can trigger workflow actions for correction, ensuring only compliant assets move forward.

  Business value: Reduces poor-quality asset records, improves governance, and prevents downstream issues in publishing and compliance processes.

• 4. Cross-platform search enrichment for enterprise content discovery

  Direction: OpenText Content Metadata Service ? Canto

  Expose enterprise metadata from OpenText Content Metadata Service to enrich Canto search facets and filters. For example, product line, business unit, and approval status can be surfaced in Canto so users can find the right approved asset faster without relying only on file names or manual tags.

  Business value: Speeds up asset retrieval, reduces duplicate content creation, and helps marketing teams reuse approved materials more effectively.

• 5. Rights and usage metadata propagation for controlled asset sharing

  Direction: OpenText Content Metadata Service ? Canto

  Store usage rights, expiration dates, geographic restrictions, and approval status in OpenText Content Metadata Service and publish those fields to Canto. This allows Canto users to see whether an asset can be shared externally, reused in a campaign, or needs renewal before publication.

  Business value: Lowers legal and brand risk, supports compliant asset distribution, and helps teams avoid using expired or restricted content.

• 6. Campaign asset lifecycle coordination between marketing and content governance teams

  Direction: Bi-directional

  As campaign assets move through creation, review, approval, and distribution, Canto can manage the marketing collaboration side while OpenText Content Metadata Service maintains enterprise metadata and lifecycle status. Status changes in one system, such as approved, archived, or superseded, can update the other to keep both teams aligned.

  Business value: Improves workflow visibility, reduces version confusion, and supports controlled asset lifecycle management across departments.

• 7. Reuse of approved metadata models for multi-repository content operations

  Direction: OpenText Content Metadata Service ? Canto

  Organizations that manage content in multiple repositories can define a single approved metadata model in OpenText Content Metadata Service and reuse it in Canto for digital assets. This is especially useful for enterprises with regional marketing teams or multiple brands that need a common structure but different asset collections.

  Business value: Reduces metadata design effort, supports scalability, and ensures consistent reporting across repositories and teams.