OpenText Content Metadata Service - Dictionary - Glean Integration and Automation

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

1. Standardized enterprise search across OpenText content repositories

Data flow: OpenText Content Metadata Service - Dictionary ? Glean

Use the OpenText metadata dictionary as the authoritative source for document classification fields such as document type, department, region, retention class, and confidentiality level. Glean can ingest these standardized metadata values to improve search relevance, filtering, and faceted navigation across indexed content.

• Business value: Faster discovery of approved content with fewer duplicate or inconsistent tags.
• Operational benefit: Search results remain consistent even when content comes from multiple OpenText repositories.
• Best for: Legal, HR, finance, and knowledge management teams that rely on precise content retrieval.

2. Policy driven access and content discovery by metadata class

Data flow: Bi directional

Synchronize controlled vocabulary values from OpenText into Glean so users can search and filter content based on governance attributes such as sensitivity, business unit, or lifecycle stage. Glean can then surface only the content that matches user context and permissions, while OpenText remains the system of record for metadata definitions.

• Business value: Reduces accidental exposure of restricted content.
• Operational benefit: Users find the right content without manually interpreting inconsistent labels.
• Best for: Regulated industries and organizations with strict information governance requirements.

3. Metadata driven knowledge portal for enterprise content

Data flow: OpenText Content Metadata Service - Dictionary ? Glean

Publish standardized metadata definitions from OpenText so Glean can present a structured enterprise knowledge experience. For example, Glean can group content by approved content categories, project codes, or product lines defined in the dictionary, helping employees navigate large content collections more efficiently.

• Business value: Improves content findability and reduces time spent searching.
• Operational benefit: One metadata model supports multiple content sources and teams.
• Best for: Large enterprises with shared service centers or distributed business units.

4. Metadata quality monitoring and remediation workflow

Data flow: Glean ? OpenText Content Metadata Service - Dictionary

Use Glean search analytics to identify content that is difficult to find, poorly classified, or missing expected metadata patterns. Feed those findings back into OpenText governance processes so metadata stewards can refine dictionary values, update controlled vocabularies, or correct tagging standards.

• Business value: Improves metadata quality based on real user behavior.
• Operational benefit: Governance teams can prioritize cleanup based on search gaps and usage trends.
• Best for: Content operations and records management teams.

5. Cross platform content enrichment for AI assisted answers

Data flow: OpenText Content Metadata Service - Dictionary ? Glean

Provide Glean with authoritative metadata fields so its AI search and answer experience can better interpret content context. When documents are tagged with standardized terms such as customer name, contract type, or policy category, Glean can deliver more accurate answers and reduce ambiguity in enterprise queries.

• Business value: Higher quality search results and more relevant AI generated responses.
• Operational benefit: Less manual effort to locate source documents for decision making.
• Best for: Customer support, sales enablement, and internal operations teams.

6. Unified taxonomy for content migration and repository consolidation

Data flow: OpenText Content Metadata Service - Dictionary ? Glean

During OpenText repository consolidation or migration projects, use the metadata dictionary to preserve a common taxonomy across legacy and target systems. Glean can index both environments during transition, allowing users to search across old and new repositories while metadata standards remain consistent.

• Business value: Reduces disruption during migration and preserves search continuity.
• Operational benefit: Avoids rework caused by mismatched metadata structures.
• Best for: M&A integration, platform modernization, and archive rationalization programs.

7. Department specific content views based on governed metadata

Data flow: Bi directional

OpenText defines the approved metadata schema, while Glean uses those fields to create department specific views and search experiences for teams such as procurement, HR, engineering, or compliance. User feedback from Glean can help identify missing metadata values or categories that need to be added to the dictionary.

• Business value: Tailored content discovery without creating separate taxonomies for each team.
• Operational benefit: Central governance with flexible user experiences.
• Best for: Enterprises balancing standardization with business unit autonomy.