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

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

1. Metadata-Driven Sensitive Content Classification

Data flow: OpenText Lens - Data Visibility → OpenText Content Metadata Service

Use AI-driven discovery in OpenText Lens to identify sensitive, regulated, or business-critical content across repositories, then push standardized classification metadata into OpenText Content Metadata Service. This allows downstream applications to apply consistent labels such as confidential, personal data, legal hold, or retention category.

• Improves governance consistency across content repositories
• Reduces manual tagging effort for compliance teams
• Supports policy-based access, retention, and disposition decisions

2. Metadata Model Enrichment for Discovery and Search

Data flow: OpenText Content Metadata Service → OpenText Lens - Data Visibility

Use the centralized metadata definitions from OpenText Content Metadata Service to enrich OpenText Lens analysis with business context such as document type, department, region, project, or record class. This helps Lens produce more accurate visibility reports and better segment unstructured data for governance reviews.

• Aligns AI discovery results with enterprise metadata standards
• Improves searchability and reporting by business domain
• Helps data owners interpret findings faster

3. Redundant and Obsolete Content Cleanup with Standardized Metadata

Data flow: OpenText Lens - Data Visibility → OpenText Content Metadata Service

Use OpenText Lens to identify duplicate, outdated, or low-value content across repositories, then write cleanup status and disposition metadata back to OpenText Content Metadata Service. Business teams can use this metadata to drive review workflows, archive decisions, or deletion approvals.

• Accelerates content rationalization programs
• Creates a shared view of cleanup candidates across teams
• Supports defensible disposition and auditability

4. Migration Readiness and Target Metadata Mapping

Data flow: Bi-directional

During cloud migration or repository consolidation, use OpenText Lens to inventory unstructured content and identify what exists, then use OpenText Content Metadata Service to map source content to target metadata structures. This ensures only relevant content is migrated and that it lands with the correct metadata model in the destination environment.

• Reduces migration scope and cost
• Improves target repository quality and consistency
• Helps migration teams prioritize high-value content first

5. Compliance Exception Management and Remediation Tracking

Data flow: OpenText Lens - Data Visibility → OpenText Content Metadata Service → OpenText Lens - Data Visibility

OpenText Lens can detect content that violates policy, such as personal data stored in non-approved locations or documents missing required classifications. OpenText Content Metadata Service can then store remediation metadata such as exception status, owner, due date, and approval outcome. Lens can later re-scan to confirm remediation completion.

• Creates an end-to-end compliance remediation workflow
• Improves accountability across legal, security, and records teams
• Provides measurable closure on risk findings

6. Automated Retention and Records Classification

Data flow: OpenText Lens - Data Visibility → OpenText Content Metadata Service

Use OpenText Lens to identify content that appears to be records, contracts, HR files, or other regulated documents, then assign retention-related metadata through OpenText Content Metadata Service. This enables consistent application of retention schedules and disposition rules across repositories.

• Supports records management at scale
• Reduces risk of over-retention or premature deletion
• Improves policy enforcement across distributed content

7. Business Ownership and Stewardship Assignment

Data flow: OpenText Lens - Data Visibility → OpenText Content Metadata Service

When OpenText Lens identifies content domains, repositories, or data clusters, the results can be used to assign business ownership metadata in OpenText Content Metadata Service. This helps route governance tasks to the right department, data steward, or content owner for review and ongoing management.

• Clarifies accountability for unstructured content
• Improves workflow routing and issue resolution
• Supports operating model for information governance

8. Continuous Governance Dashboarding and Reporting

Data flow: Bi-directional

Combine OpenText Lens visibility findings with standardized metadata from OpenText Content Metadata Service to build governance dashboards showing sensitive content volume, cleanup progress, retention coverage, and policy exceptions by business unit or repository. This gives executives and operational teams a single view of content risk and metadata quality.

• Enables ongoing governance reporting
• Helps track compliance and cleanup KPIs
• Supports better prioritization of remediation efforts