OpenText Magellan Text Mining Engine - Tenovos Integration and Automation

Common Integration Use Cases Between OpenText Magellan Text Mining Engine and Tenovos

• Content performance insights enriched with text analytics
  Tenovos can send asset metadata, captions, campaign notes, and user comments to OpenText Magellan Text Mining Engine for NLP analysis. Magellan identifies recurring themes, sentiment, and entity mentions across high-performing and underperforming assets. The results flow back into Tenovos to help marketing teams understand which messages, topics, and audiences drive engagement, improving content planning and ROI.
• Automated compliance review for marketing and brand content
  Tenovos can route new or updated assets to OpenText Magellan Text Mining Engine to detect risky language, restricted claims, competitor references, or regulated terms. Compliance teams receive flagged content for review before publication, while approved assets are returned to Tenovos with compliance status and audit notes. This reduces manual review effort and lowers the risk of publishing non-compliant content.
• Campaign and asset tagging at scale
  When large volumes of documents, transcripts, or copy are ingested into Tenovos, OpenText Magellan Text Mining Engine can extract entities, product names, topics, and relationships to generate consistent tags automatically. Those tags are written back to Tenovos to improve search, classification, and asset reuse. This is especially useful for global marketing teams managing thousands of assets across regions and product lines.
• Audience and message intelligence from customer feedback
  Tenovos can store customer reviews, survey responses, social listening exports, and campaign feedback documents, then pass them to OpenText Magellan Text Mining Engine for topic and sentiment analysis. The extracted insights can be returned to Tenovos dashboards to show which messages resonate, which objections appear most often, and where content gaps exist. Marketing and product teams can use this to refine content strategy and campaign messaging.
• Cross-functional investigation of content issues
  If a campaign underperforms or triggers negative feedback, Tenovos can send related content packages, briefing documents, and stakeholder comments to OpenText Magellan Text Mining Engine for investigation. Magellan can identify patterns such as repeated claims, inconsistent terminology, or references to problematic topics. Findings can be attached back to the asset record in Tenovos so creative, legal, and marketing teams can quickly correct future content.
• Knowledge extraction from legacy content libraries
  Organizations migrating older document repositories into Tenovos can use OpenText Magellan Text Mining Engine to analyze legacy files before or during ingestion. The engine extracts topics, entities, and relationships from unstructured documents, then enriches Tenovos asset records with searchable intelligence. This improves discoverability of archived content and helps teams repurpose high-value materials instead of recreating them.
• Content governance and lifecycle optimization
  Tenovos can provide asset usage data, publication history, and associated text-based documentation to OpenText Magellan Text Mining Engine for analysis of content patterns over time. Magellan can identify which themes, product references, or claims appear in outdated or low-performing assets. The insights can be used in Tenovos to recommend retire, refresh, or reuse actions, helping teams manage content lifecycles more effectively.