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OpenText Lens - Data Visibility - OpenText Magellan Text Mining Engine Integration and Automation

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Common Integration Use Cases Between OpenText Lens - Data Visibility and OpenText Magellan Text Mining Engine

  • 1. Sensitive Content Discovery and Contextual Risk Classification

    Flow: OpenText Lens - Data Visibility ? OpenText Magellan Text Mining Engine

    OpenText Lens identifies repositories containing potentially sensitive or high-risk unstructured content, such as contracts, HR files, legal correspondence, or customer records. Those document sets are then passed to OpenText Magellan Text Mining Engine for deeper text analysis to extract entities, topics, and relationships that indicate regulatory exposure, confidentiality risk, or privileged information. This helps compliance and legal teams prioritize remediation based on actual content context rather than file metadata alone.

  • 2. Data Cleanup Prioritization for Large Content Repositories

    Flow: OpenText Lens - Data Visibility ? OpenText Magellan Text Mining Engine

    During data cleanup or repository rationalization programs, OpenText Lens can identify redundant, obsolete, or trivial content across shared drives, ECM systems, and archives. OpenText Magellan Text Mining Engine can then analyze sampled or flagged documents to determine business relevance, recurring themes, and document relationships, helping records and information governance teams decide what to retain, archive, or dispose of. This reduces manual review effort and improves defensibility of retention decisions.

  • 3. Migration Readiness Assessment and Content Segmentation

    Flow: OpenText Lens - Data Visibility ? OpenText Magellan Text Mining Engine

    Before migrating content to a new platform, OpenText Lens can inventory the source environment and segment content by repository, owner, sensitivity, and age. OpenText Magellan Text Mining Engine can analyze the highest-risk or highest-value content sets to identify document types, key topics, and embedded business relationships. Migration teams can use this insight to separate active business content from legacy or low-value content, reducing migration scope, cost, and risk.

  • 4. Legal Hold and Investigation Scoping

    Flow: OpenText Lens - Data Visibility ? OpenText Magellan Text Mining Engine

    When legal or internal investigations begin, OpenText Lens can quickly locate relevant repositories and document clusters based on custodians, locations, or content characteristics. OpenText Magellan Text Mining Engine can then mine the selected documents to surface named entities, communication patterns, and topic clusters tied to the matter. This enables legal and eDiscovery teams to narrow the review population faster and focus on the most relevant evidence.

  • 5. Compliance Monitoring for Policy and Regulatory Content

    Flow: OpenText Lens - Data Visibility ? OpenText Magellan Text Mining Engine

    OpenText Lens can identify where policy documents, regulated communications, or customer-facing records are stored across the enterprise. OpenText Magellan Text Mining Engine can analyze those documents to detect references to regulated terms, obligations, exceptions, or prohibited language. Compliance teams can use the combined output to assess whether content aligns with policy requirements and to flag repositories that need remediation or additional controls.

  • 6. Knowledge Discovery from Legacy Content Archives

    Flow: OpenText Lens - Data Visibility ? OpenText Magellan Text Mining Engine

    Organizations often retain large legacy archives with limited indexing or poor metadata. OpenText Lens can map these archives and identify high-value collections, while OpenText Magellan Text Mining Engine can extract topics, entities, and relationships from the documents to reveal hidden knowledge such as customer issues, product defects, supplier dependencies, or historical decisions. Business units can then reuse this information for operational analysis, audits, or strategic planning.

  • 7. Bi-Directional Governance Feedback Loop for Content Quality

    Flow: OpenText Lens - Data Visibility ? OpenText Magellan Text Mining Engine

    OpenText Lens can provide repository-level visibility and identify content populations that need review, while OpenText Magellan Text Mining Engine can enrich those populations with semantic insights such as subject matter, sensitivity indicators, and relationship patterns. The enriched results can be fed back into governance workflows to improve classification, retention tagging, and repository ownership assignment. This creates a repeatable process for improving content quality and governance maturity over time.

  • 8. Targeted Due Diligence and Corporate Transaction Support

    Flow: OpenText Lens - Data Visibility ? OpenText Magellan Text Mining Engine

    In mergers, acquisitions, or divestitures, OpenText Lens can rapidly identify where critical documents are stored and quantify content volumes by business area, geography, and sensitivity. OpenText Magellan Text Mining Engine can then analyze selected document sets to uncover contractual obligations, litigation exposure, intellectual property references, and operational dependencies. Deal teams gain a faster understanding of information risk and can make better decisions about carve-out scope, disclosure, and post-transaction cleanup.

How to integrate and automate OpenText Lens - Data Visibility with OpenText Magellan Text Mining Engine using OneTeg?