Master Data Mapping & Validation
Extraction is easy. Meaning is hard.
Any model can read "10 CS". Only a mapped vocabulary knows that means "10 cases" in your unit-of-measure table.
Sainapse infers your lists of values from the live system, builds a canonical vocabulary your team verifies, and checks every extracted value against it before anything writes downstream.
How it works.
Sainapse pulls the destination schema out of your system of record and infers the list of values each field will accept.
It resolves name variants into one record, checks hierarchical fields against their dependencies, and sends anything that fails to match to a human review queue. The mapping table is a shipped screen, not slideware.
Where it shows up.
Proven against SAP master data at a Fortune 500 pharmaceutical leader, and on Freshdesk, Salesforce, and ServiceNow vocabularies. Sainapse catches an impossible SKU before it triggers a shipment, and collapses variant spellings of one customer into a single record.