OpenText Content Metadata Service - Dictionary - OpenText Lens - Data Visibility Integration and Automation

Common Integration Use Cases Between OpenText Content Metadata Service - Dictionary and OpenText Lens - Data Visibility

OpenText Content Metadata Service - Dictionary and OpenText Lens - Data Visibility complement each other well in governance, compliance, and content rationalization programs. The Dictionary provides the authoritative metadata model, while Lens identifies and analyzes unstructured content across repositories. Together, they help organizations standardize classification, improve visibility, and drive more accurate governance actions.

1. Standardize AI-Detected Content Classification

Data flow: OpenText Lens - Data Visibility to OpenText Content Metadata Service - Dictionary

Use Lens to scan repositories and identify content patterns such as contracts, invoices, HR records, customer files, or sensitive documents. Feed the resulting classification outputs into the Dictionary so the organization can map them to approved metadata terms and controlled vocabularies.

• Business value: Reduces inconsistent tagging across departments and repositories.
• Operational benefit: Creates a governed classification model for downstream content processing.
• Typical users: Records management, compliance, content governance teams.

2. Enrich Repository Metadata with Sensitivity and Risk Attributes

Data flow: OpenText Lens - Data Visibility to OpenText Content Metadata Service - Dictionary

Lens can detect potentially sensitive or regulated content such as personal data, financial records, or legal documents. Those findings can be translated into standardized metadata fields in the Dictionary, such as sensitivity level, retention category, or regulatory classification.

• Business value: Improves risk visibility and supports policy enforcement.
• Operational benefit: Enables consistent tagging for access control and retention workflows.
• Typical users: Information security, privacy, legal, and compliance teams.

3. Validate Metadata Coverage During Content Cleanup

Data flow: OpenText Lens - Data Visibility to OpenText Content Metadata Service - Dictionary

During cleanup initiatives, Lens identifies content that lacks sufficient metadata or appears misclassified. The Dictionary provides the approved schema used to check whether required metadata fields are missing, incomplete, or inconsistent across repositories.

• Business value: Improves searchability and reduces unmanaged content.
• Operational benefit: Helps teams prioritize remediation based on metadata gaps.
• Typical users: Content operations, data governance, and repository administrators.

4. Support Migration Readiness and Target Metadata Mapping

Data flow: Bi-directional

When planning a migration, Lens can inventory source repositories and identify content types, sensitive data, and redundant files. The Dictionary can then be used to define the target metadata model for the destination platform. After migration, Lens can be used again to verify that content was classified correctly and that key metadata was preserved.

• Business value: Reduces migration risk and improves target system consistency.
• Operational benefit: Supports pre-migration analysis and post-migration validation.
• Typical users: Migration teams, enterprise architects, and content platform owners.

5. Improve Retention and Disposition Decisions

Data flow: OpenText Lens - Data Visibility to OpenText Content Metadata Service - Dictionary

Lens can identify obsolete, duplicate, or low-value content across repositories. Those findings can be mapped to retention-related metadata in the Dictionary, allowing records teams to apply consistent disposition rules based on approved content categories and business context.

• Business value: Lowers storage costs and reduces legal exposure.
• Operational benefit: Makes retention decisions more defensible and repeatable.
• Typical users: Records management, legal, and information governance teams.

6. Create a Governed Metadata Model for Compliance Reporting

Data flow: OpenText Content Metadata Service - Dictionary to OpenText Lens - Data Visibility

The Dictionary can define the standard metadata fields required for compliance reporting, such as document type, jurisdiction, retention class, and sensitivity level. Lens can then use those definitions as a reference point when analyzing repositories, helping teams measure coverage and identify content that does not conform to the standard.

• Business value: Improves reporting consistency across business units.
• Operational benefit: Enables more reliable compliance dashboards and audits.
• Typical users: Compliance reporting teams, audit functions, and governance leaders.

7. Prioritize Remediation of High-Risk Content at Scale

Data flow: OpenText Lens - Data Visibility to OpenText Content Metadata Service - Dictionary

Lens can surface high-risk content clusters, such as repositories with large volumes of unclassified personal data or outdated project files. The Dictionary can provide the standardized metadata categories needed to route those items into remediation workflows, such as reclassification, retention assignment, or legal review.

• Business value: Focuses remediation efforts on the highest-risk content first.
• Operational benefit: Supports scalable governance programs with clear workflow triggers.
• Typical users: Risk management, privacy office, and content governance teams.

Together, OpenText Content Metadata Service - Dictionary and OpenText Lens - Data Visibility enable organizations to move from discovery to governed action. Lens finds and evaluates content at scale, while the Dictionary ensures that the resulting metadata is standardized, reusable, and aligned to enterprise policy.