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Standardize It Once, Enforce It Forever

Lynn avatar
Shared by Lynn • August 07, 2026

When you use the Cleanse Data module to explore a field and spot the variations hiding in it — inconsistent industries, mismatched job titles, messy lead sources — you can clean up what's there today. But new records keep coming in, and without an ongoing fix, the same inconsistencies creep right back in behind you.

Now, once you've identified those variations in Cleanse Data, you can export them directly as a Blueprint CSV and hand them off to Data Logic for standardization that runs automatically, on every record, going forward — not just the ones you happened to catch today.

For example, if your Industry field has drifted into a mix of "Technology," “Information Technology and Services,” and "Information Services" across your database, Cleanse Data shows you every variation and how often each one appears. Export that list, map the incorrect values to the one you want to keep, upload the Blueprint, and set up the automated Data Logic template — from then on, new and existing records with any of those variations get corrected automatically, with no manual re-cleaning required.

Learn more about exporting field details from Cleanse Data to create a Data Logic Blueprint, Data Logic, and Blueprints.