Data Mapping

Data mapping defines how fields in a source system correspond to fields in a destination system — the contract that makes integration work without losing meaning.

What is data mapping?

Data mapping is the explicit declaration that source field A equals destination field B. Sounds simple, breaks constantly: source has "first_name" and destination has "FirstName," source has free-text "industry" and destination has a picklist of 20 values, source phone is "+1 (555) 123-4567" and destination wants "5551234567."

Why it matters

Bad mapping silently corrupts records — values land in wrong fields and stay there
Picklist mismatches break reporting (everything shows up as "Other")
Mapping is the most-overlooked part of every integration project

Best practices

Document every mapping in a single sheet per integration
Transform during mapping when needed — case, format, picklist normalization
Validate samples before running at scale; one mismatched mapping multiplied by 10,000 records is a long Tuesday

How TexAu helps

Map columns visually inside the TexAu workflow editor before pushing to your CRM — preview the mapped output on real records before the integration runs at scale.