Google Sheets - OpenText Magellan Text Mining Engine Integration and Automation

Common Integration Use Cases Between Google Sheets and OpenText Magellan Text Mining Engine

1. Prioritize unstructured document review lists in Google Sheets

Data flow: OpenText Magellan Text Mining Engine ? Google Sheets

Magellan can analyze large volumes of emails, contracts, case notes, complaints, or investigation files and extract entities, topics, sentiment, and risk indicators. The resulting structured findings can be written into Google Sheets so business users can sort, filter, and assign follow-up actions.

• Legal teams can rank contracts by clause risk or missing terms.
• Compliance teams can track documents flagged for regulatory concerns.
• Investigators can maintain a shared review queue with extracted keywords and confidence scores.

Business value: Faster triage of large document sets and better visibility for cross-functional review teams.

2. Enrich spreadsheet-based case logs with extracted text insights

Data flow: Google Sheets ? OpenText Magellan Text Mining Engine ? Google Sheets

Teams often maintain case logs, issue trackers, or incident registers in Google Sheets, while supporting evidence sits in unstructured attachments or notes. Sheets can send document references or pasted text to Magellan for analysis, then receive back extracted entities, themes, and relationship data to enrich each row.

• Risk teams can add detected organizations, people, and locations to each case record.
• Customer service teams can classify complaint themes from free-text notes.
• Audit teams can tag cases with likely policy violations or recurring patterns.

Business value: Reduces manual reading and standardizes how unstructured evidence is captured in operational trackers.

3. Build a collaborative compliance monitoring dashboard

Data flow: OpenText Magellan Text Mining Engine ? Google Sheets

Magellan can scan policy documents, regulatory updates, internal communications, or investigation summaries and extract compliance-related topics and obligations. Google Sheets can then serve as a shared dashboard for compliance officers to monitor emerging issues, ownership, and remediation status.

• Track regulatory themes by business unit or geography.
• Maintain a remediation log with due dates and accountable owners.
• Compare recurring issues across departments or time periods.

Business value: Improves transparency and coordination across compliance, legal, and operational teams.

4. Accelerate legal discovery and matter preparation

Data flow: OpenText Magellan Text Mining Engine ? Google Sheets

During discovery or internal investigations, Magellan can process large document collections and identify relevant entities, topics, and relationships. The extracted results can be exported to Google Sheets for attorneys and paralegals to review, tag, and prioritize documents for deeper analysis.

• Group documents by custodian, topic, or named entity.
• Flag potentially privileged or sensitive materials for review.
• Track document relevance and review status in a shared spreadsheet.

Business value: Speeds up discovery preparation and reduces the time spent on repetitive manual classification.

5. Analyze customer feedback and route themes to business owners

Data flow: Google Sheets ? OpenText Magellan Text Mining Engine ? Google Sheets

Organizations often collect customer feedback, survey comments, and complaint notes in Google Sheets. Magellan can analyze the free text to identify recurring topics, sentiment, and root causes, then return structured outputs that teams can use to assign ownership and prioritize fixes.

• Product teams can see which features generate the most negative feedback.
• Operations teams can identify process issues driving complaints.
• Support leaders can route themes to the correct escalation owner.

Business value: Turns unstructured feedback into actionable work items without requiring a separate analytics platform.

6. Support editorial and research workflows with topic extraction

Data flow: Google Sheets ? OpenText Magellan Text Mining Engine ? Google Sheets

Content, research, and communications teams often plan work in Google Sheets and need to review large sets of source text, reports, or articles. Sheets can send text samples or document references to Magellan, which extracts topics, entities, and relationships to help teams organize content plans and research summaries.

• Editorial teams can cluster source material by theme.
• Research teams can identify key organizations, people, and events mentioned across sources.
• Communications teams can validate whether messaging aligns with dominant themes in source documents.

Business value: Improves content planning and reduces time spent manually reviewing source material.

7. Create a shared investigation workbook for cross-team collaboration

Data flow: Bi-directional

Magellan can extract entities and relationships from documents, while Google Sheets can act as the collaborative workspace where analysts, compliance officers, and investigators annotate findings, assign actions, and track status. Updates in Sheets can trigger re-analysis of selected text sets in Magellan when new questions arise.

• Analysts add notes and hypotheses directly in the workbook.
• Magellan reprocesses targeted documents based on updated review criteria.
• Managers monitor progress, ownership, and evidence quality in one place.

Business value: Supports iterative investigation workflows and keeps analysis aligned across multiple teams.

8. Maintain a text analytics backlog for operational reporting

Data flow: OpenText Magellan Text Mining Engine ? Google Sheets

Magellan can process recurring document feeds such as incident reports, audit findings, or case narratives and output structured metrics into Google Sheets for operational reporting. Business users can then maintain a lightweight backlog of themes, trends, and exceptions without needing direct access to the text mining engine.

• Track monthly volumes of issues by category.
• Monitor emerging topics across departments or regions.
• Prepare management reports from a shared spreadsheet source.

Business value: Gives non-technical stakeholders a simple way to consume text analytics results and act on them quickly.