Enterprise operations still run on structured data exchanges — EDI transactions, CSV exports, fixed-width files, and XML feeds. EDI/CSV ingestion brings this data into the intelligence stack, mapping external data formats to your domain schemas and creating connections between transactional data and organizational knowledge. Supply chain transactions, financial feeds, inventory updates — all become part of your unified intelligence layer.
Define mappings between external data formats and your domain schemas. EDI 850 purchase orders, CSV inventory exports, XML financial feeds — each mapped to the appropriate entities.
External systems use different codes and identifiers. The ingestion layer maintains crosswalk tables that translate between external references and your internal domain model.
Incoming data is validated against your schema rules, flagging anomalies, duplicates, and format errors before they enter the knowledge repository.
Every data import is tracked with source, timestamp, and transformation details. Trace any piece of data back to the external system and file that produced it.
EDI / CSV works in concert with other layers in the intelligence stack — each connection amplifying the capability of both components.
Bridge the gap between legacy enterprise data formats and modern AI-ready intelligence. Reduce manual data entry, eliminate import errors, and create traceability from external transactions to internal knowledge.
Discover how EDI / CSV fits into your enterprise intelligence strategy.
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