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OpenText Magellan Text Mining Engine - Stibo Systems Integration and Automation

Integrate OpenText Magellan Text Mining Engine Artificial intelligence (AI) and Stibo Systems Product Information Management (PIM) apps with any of the apps from the library with just a few clicks. Create automated workflows by integrating your apps.

Common Integration Use Cases Between OpenText Magellan Text Mining Engine and Stibo Systems

1. Enrich product master data with insights from unstructured supplier documents

Data flow: OpenText Magellan Text Mining Engine ? Stibo Systems

OpenText Magellan can extract product attributes, compliance statements, ingredients, certifications, and packaging details from supplier PDFs, emails, and specification sheets. Stibo Systems can then use these extracted values to update or validate product master records.

  • Reduces manual data entry from supplier documentation
  • Improves completeness and accuracy of product records
  • Speeds onboarding of new products and suppliers

2. Detect compliance risks in product and customer documentation

Data flow: OpenText Magellan Text Mining Engine ? Stibo Systems

Magellan can scan contracts, declarations, safety data sheets, and regulatory correspondence to identify restricted substances, missing certifications, or noncompliant terms. Stibo Systems can store the resulting compliance flags against the relevant product or customer master record for governance and review.

  • Supports regulatory and quality teams with early risk detection
  • Creates a governed compliance history tied to master data
  • Helps prevent noncompliant products from being published downstream

3. Improve customer master data quality using insights from case notes and correspondence

Data flow: OpenText Magellan Text Mining Engine ? Stibo Systems

Customer service emails, dispute notes, and account correspondence often contain changes to addresses, contacts, ownership, or relationship structures. Magellan can identify these changes and feed them into Stibo Systems for review, matching, and master data updates.

  • Reduces stale or inconsistent customer records
  • Improves sales, service, and billing accuracy
  • Helps master data stewards prioritize high-value changes

4. Link unstructured risk intelligence to governed customer and supplier records

Data flow: OpenText Magellan Text Mining Engine ? Stibo Systems

Magellan can analyze news articles, investigation files, sanctions notices, and adverse media to identify entities and relationships associated with customers, suppliers, or partners. Stibo Systems can then associate those risk indicators with the corresponding master records for governance and downstream action.

  • Strengthens third-party risk management
  • Provides a single governed view of risk-relevant master data
  • Supports procurement, compliance, and investigations teams

5. Use master data as the reference layer for text analytics

Data flow: Stibo Systems ? OpenText Magellan Text Mining Engine

Stibo Systems can provide trusted product, customer, and supplier identifiers to Magellan so that text mining results are matched against authoritative master records. This improves entity resolution across documents, cases, and communications.

  • Reduces duplicate or ambiguous entity matches
  • Improves accuracy of analytics across large document sets
  • Enables consistent reporting by product, brand, customer, or supplier

6. Accelerate product content governance for PIM and commerce teams

Data flow: OpenText Magellan Text Mining Engine ? Stibo Systems

Magellan can extract marketing claims, technical specifications, usage instructions, and warranty language from product collateral and supplier content. Stibo Systems can route these findings into product information governance workflows for validation before publication to PIM, ERP, or commerce channels.

  • Improves speed and consistency of product content creation
  • Reduces risk of publishing inaccurate claims
  • Supports cross-functional review between legal, marketing, and product teams

7. Create a closed-loop workflow for exception handling and stewardship

Data flow: Bi-directional

Magellan can detect anomalies, missing information, or conflicting statements in documents and send exceptions to Stibo Systems. Stibo stewards can review, correct, and approve master data updates, and the approved outcomes can be fed back to Magellan to improve future classification and extraction rules.

  • Establishes a governed exception management process
  • Improves data stewardship efficiency
  • Continuously refines text mining accuracy based on approved outcomes

8. Support investigations with governed master data context

Data flow: Bi-directional

Investigators using Magellan can uncover relationships between people, organizations, products, and events across unstructured case files. Stibo Systems can provide the authoritative master data context for those entities, while investigation findings can be written back as governed attributes or relationship flags for future reference.

  • Improves traceability in legal, risk, and intelligence workflows
  • Connects evidence from documents to trusted master records
  • Helps teams reuse prior findings in future cases

How to integrate and automate OpenText Magellan Text Mining Engine with Stibo Systems using OneTeg?