OpenText Core Content - Metadata - OpenText Magellan Text Mining Engine Integration and Automation

Common Integration Use Cases Between OpenText Core Content - Metadata and OpenText Magellan Text Mining Engine

1. Automated metadata enrichment for incoming documents

Data flow: OpenText Magellan Text Mining Engine ? OpenText Core Content - Metadata

Magellan analyzes newly ingested contracts, emails, reports, and case files to extract entities such as names, dates, locations, topics, and obligations. Those extracted values are then mapped into Core Content metadata fields and validated against controlled vocabularies.

Business value: Reduces manual indexing effort, improves consistency of classification, and makes content searchable and reportable immediately after ingestion.

2. Compliance tagging based on text analysis

Data flow: OpenText Magellan Text Mining Engine ? OpenText Core Content - Metadata

Magellan scans documents for regulatory terms, sensitive topics, and risk indicators such as personal data, legal clauses, sanctions references, or confidential project names. Core Content stores the resulting compliance tags as governed metadata for retention, access control, and audit reporting.

Business value: Helps compliance teams identify regulated content faster and apply consistent policy controls across large repositories.

3. Search optimization using extracted topics and entities

Data flow: OpenText Magellan Text Mining Engine ? OpenText Core Content - Metadata

Magellan identifies document themes, key entities, and relationships, then writes those insights into metadata fields used by Core Content search and faceted navigation. This improves retrieval for users who search by customer, project, issue, or subject area rather than exact file names.

Business value: Increases search precision and reduces time spent locating relevant content across shared repositories.

4. Metadata-driven analytics on unstructured content collections

Data flow: OpenText Core Content - Metadata ? OpenText Magellan Text Mining Engine and OpenText Magellan Text Mining Engine ? OpenText Core Content - Metadata

Core Content provides structured metadata such as document type, business unit, region, and retention category to Magellan for segmentation and analysis. Magellan then enriches the same records with extracted insights like recurring issues, sentiment, or emerging topics, which are written back as metadata for reporting.

Business value: Enables business and risk teams to analyze content by both governed attributes and text-derived intelligence.

5. Legal discovery and investigation support

Data flow: OpenText Core Content - Metadata ? OpenText Magellan Text Mining Engine ? OpenText Core Content - Metadata

Core Content supplies case-related metadata such as matter number, custodian, date range, and jurisdiction to Magellan for targeted review. Magellan extracts entities, relationships, and key phrases from the selected document set, then stores findings back in Core Content for review workflows and evidence tracking.

Business value: Speeds up legal review, improves defensibility, and helps investigators focus on the most relevant documents first.

6. Quality control for metadata governance

Data flow: OpenText Magellan Text Mining Engine ? OpenText Core Content - Metadata

Magellan detects when document content suggests a different classification than the metadata currently assigned, such as a contract stored as a general memo or a confidential report tagged as public. Core Content can flag these mismatches for review and correction.

Business value: Improves metadata accuracy, reduces governance risk, and supports cleaner downstream reporting and retention decisions.

7. Topic-based routing and workflow automation

Data flow: OpenText Magellan Text Mining Engine ? OpenText Core Content - Metadata

Magellan identifies the subject matter of incoming content, such as HR complaints, supplier disputes, product defects, or policy exceptions. Core Content uses that metadata to route items to the correct team, apply the right workflow, and trigger required approvals or escalations.

Business value: Shortens processing time, reduces manual triage, and ensures content reaches the right business owner quickly.

8. Continuous enrichment of legacy content repositories

Data flow: OpenText Core Content - Metadata ? OpenText Magellan Text Mining Engine ? OpenText Core Content - Metadata

Existing content in Core Content can be sent to Magellan in batches for retrospective analysis. Magellan extracts missing metadata from legacy documents and writes the enriched values back into Core Content, improving the quality of older records without reauthoring them manually.

Business value: Unlocks value from archived content, improves repository completeness, and makes historical documents easier to search and govern.