Home | Connectors | Google Sheets | Google Sheets - OpenText Trading Grid Cartographer Integration and Automation
Google Sheets and OpenText Trading Grid Cartographer complement each other well in organizations that manage partner integrations, EDI mappings, and operational coordination across business and technical teams. Google Sheets provides a flexible, collaborative workspace for business users, while OpenText Trading Grid Cartographer provides visibility into integration landscapes, partner connections, and data flows. Together, they can improve governance, reduce manual coordination, and speed up troubleshooting and change management.
Business teams can maintain a Google Sheets-based onboarding tracker for new trading partners, including company details, required documents, test status, and go-live dates. That data can be pushed into OpenText Trading Grid Cartographer to document the new partner connection, map the expected EDI or API flows, and link the partner to the correct integration routes. This reduces onboarding delays and gives architects a single view of partner readiness and technical dependencies.
Operations or business teams can capture change requests in Google Sheets, such as new fields, revised message formats, or partner-specific routing changes. OpenText Trading Grid Cartographer can then use that information to assess which integrations, partners, and message flows are affected. The result is a more structured change review process with clearer impact analysis before implementation begins.
Functional analysts can use Google Sheets to draft and review field-level mapping requirements, validation rules, and transformation notes with business stakeholders. Once approved, the finalized mapping details can be transferred into OpenText Trading Grid Cartographer to document how the exchange is implemented across the Trading Grid ecosystem. This supports cleaner handoff from business analysis to integration design and reduces rework caused by unclear requirements.
When a partner transaction fails, support teams can log incident details in Google Sheets, including partner name, document type, timestamps, error codes, and business priority. OpenText Trading Grid Cartographer can then be used to identify the exact integration path, upstream and downstream dependencies, and related partner connections. This shortens troubleshooting time and helps support teams route issues to the right technical owner faster.
Integration architects can extract key metadata from OpenText Trading Grid Cartographer into Google Sheets to create lightweight reports for leadership, operations, and project teams. These reports can include partner counts, active message flows, interface ownership, and upcoming decommission dates. Google Sheets makes it easy to filter, annotate, and share the information without requiring direct access to the integration platform.
During partner certification or regression testing, teams can manage test cases, expected outcomes, and defect status in Google Sheets. OpenText Trading Grid Cartographer can provide the authoritative reference for which interfaces, routes, and partner endpoints are in scope for each test cycle. This improves test planning, ensures coverage of impacted flows, and helps teams verify that changes do not break dependent integrations.
Business operations teams can maintain partner contact details, escalation paths, and internal ownership in Google Sheets. That information can be linked to integration records in OpenText Trading Grid Cartographer so architects and support teams know who owns each connection and who to contact during outages or change windows. This is especially valuable in large partner ecosystems where ownership changes frequently.
Organizations can use Google Sheets to compare business records such as active partners, approved message types, or contract status against the integration inventory maintained in OpenText Trading Grid Cartographer. Exceptions, such as dormant partners still listed as active or undocumented flows in production, can be flagged for review. This helps improve governance, reduce integration sprawl, and keep the operational landscape accurate.