Improved

Dataset Column Mapping Improvements

We've made dataset column mapping more predictable and easier to manage. Three improvements ship with this release:

  • Column Names now mirror Column Headers 1:1. Editing a column match no longer silently changes the underlying Column Name, so field IDs stay stable and downstream transformations and integrations keep working.
  • Column Name fields are editable on locked rows. You can now correct or customize Column Names on date and account-matching rows that were previously read-only.
  • Uniqueness is validated before you continue. If two columns share the same name, the conflict is flagged before you can advance to the next step.