OpenText Magellan Text Mining Engine - Kentico Integration and Automation

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

OpenText Magellan Text Mining Engine and Kentico complement each other well when organizations need to turn large volumes of unstructured text into actionable digital experiences, campaigns, and customer-facing content. Magellan identifies entities, topics, sentiment, and relationships from documents, while Kentico uses that intelligence to personalize content, improve campaign targeting, and support content operations.

1. Compliance and risk insights published to internal knowledge portals

Data flow: OpenText Magellan Text Mining Engine to Kentico

Magellan can analyze policy documents, incident reports, audit findings, and regulatory updates to extract key risks, obligations, and recurring issues. Kentico can then publish these insights to an internal compliance portal with role-based access for legal, risk, and operations teams.

• Automates the creation of searchable compliance summaries from large document sets
• Reduces manual review effort for legal and risk teams
• Improves access to current risk intelligence across the enterprise

2. Customer feedback analysis to drive personalized content and campaign messaging

Data flow: OpenText Magellan Text Mining Engine to Kentico

Magellan can process customer emails, survey comments, call transcripts, and complaint logs to identify common themes, sentiment, and product issues. Kentico can use these insights to adjust website messaging, landing page content, and campaign offers based on customer concerns and interests.

• Aligns digital content with real customer sentiment
• Supports more relevant campaign targeting and content recommendations
• Helps marketing teams respond faster to emerging customer issues

3. Content tagging and taxonomy enrichment for large document libraries

Data flow: OpenText Magellan Text Mining Engine to Kentico

Magellan can extract entities, topics, and relationships from uploaded documents, case studies, white papers, and knowledge articles. Kentico can use those extracted tags to improve content classification, search relevance, and navigation within the CMS.

• Improves content discoverability for website visitors and internal users
• Reduces manual metadata entry for content editors
• Supports scalable content governance across large libraries

4. Personalized industry or account pages based on document intelligence

Data flow: Bi-directional

Magellan can analyze account notes, proposal documents, and industry reports to identify key topics and business priorities. Kentico can use that intelligence to personalize account-specific web pages, recommended resources, and campaign content. In return, Kentico engagement data can help prioritize which topics or accounts should be analyzed further in Magellan.

• Creates more relevant B2B digital experiences
• Supports account-based marketing and sales enablement
• Connects content strategy with account intelligence

5. Legal and investigation knowledge portals for case teams

Data flow: OpenText Magellan Text Mining Engine to Kentico

Magellan can review case files, correspondence, and evidence documents to surface entities, timelines, and relationship patterns. Kentico can present these findings in a secure portal for investigators, legal teams, or auditors, with filters by case, topic, or entity.

• Speeds up case review and evidence triage
• Improves collaboration across legal, compliance, and investigation teams
• Provides a structured front end for unstructured case intelligence

6. Product issue intelligence feeding support and self-service content

Data flow: OpenText Magellan Text Mining Engine to Kentico

Magellan can analyze support tickets, warranty claims, and service notes to identify recurring product defects or service trends. Kentico can use that output to update knowledge base articles, FAQs, troubleshooting guides, and customer self-service pages.

• Reduces repeat support contacts through better self-service content
• Helps content teams prioritize updates based on actual issue volume
• Improves customer satisfaction and support efficiency

7. Campaign and content performance analysis from unstructured feedback

Data flow: Kentico to OpenText Magellan Text Mining Engine

Kentico can collect open-text responses from forms, surveys, chat transcripts, and campaign feedback. Magellan can analyze that unstructured input to identify themes, objections, and sentiment drivers, helping marketing and content teams understand why campaigns succeed or fail.

• Turns qualitative feedback into measurable insight
• Supports continuous improvement of campaigns and content journeys
• Helps teams identify messaging gaps and audience concerns

8. Editorial prioritization based on emerging topics and entity trends

Data flow: OpenText Magellan Text Mining Engine to Kentico

Magellan can scan external reports, news, research papers, and internal documents to detect emerging topics, organizations, and regulatory changes. Kentico editors can use those trends to prioritize new articles, landing pages, or campaign content aligned to current business and market developments.

• Improves content relevance and timeliness
• Supports proactive editorial planning
• Helps organizations respond faster to market and regulatory changes