Move Transform Data Value Mappings to Data Logic with a Click

Building value mappings one row at a time in the Transform Data module works fine when you have a handful of substitutions. But when you're standardizing company name abbreviations, industry codes, or territory labels across thousands of records — and you need those mappings enforced continuously, not just once — Insycle offers a better long-term home for that work in the Data Logic module.

You can now export your Transform Data mappings directly to a Blueprint CSV, ready to use in Data Logic. Instead of manually rebuilding your mapping logic from scratch, the export captures everything you've already configured and outputs it in the format Data Logic expects — so you can move your mappings to the tool built to run them at scale, automatically, across all records.

For example, if you've mapped abbreviations like CU → Credit Union, FCU → Federal Credit Union, and CB → Community Bank in Transform Data, the export generates a Blueprint CSV with those mappings ready to load.

If any existing text entry used pipe delimiters to define multiple variations (for example, NY|NYC|New York City → New York), the export automatically splits those into individual rows so the Blueprint is structured correctly.

To use it, configure any supported map function in step 2 of Transform Data — the blue Export button will appear in that row.

Learn more about Transform Data and Data Logic.