I have duplicate records because the same country is stored as multiple variations (e.g., a name in one place and ISO codes in another).

This feature helps prevent and resolve duplicate records caused by inconsistent country values (such as country names, ISO-2, ISO-3, or alternate spellings). It standardizes country data so records can be matched, merged, and reported on consistently across systems.

Duplicate records often occur when the same country is entered in different formats, such as "United States", "USA", "US", or localized spellings. This feature addresses that problem by standardizing country values into a consistent representation and mapping known variations to a canonical country identity. It supports workflows where data is imported from multiple sources and needs to be reconciled before being used for reporting, segmentation, or operational processes. By normalizing country fields, it reduces false duplicates and improves matching accuracy when identifying records that refer to the same entity. It also improves data quality by ensuring a single, consistent country format is used across records and downstream integrations. Users can apply the standardization process during data import, as part of ongoing cleanup, or prior to deduplication and merge operations. The result is more reliable analytics, fewer duplicate customer or account profiles, and less manual effort spent resolving inconsistencies. This is especially useful for global datasets where country names may appear in multiple languages, abbreviations, or legacy formats. The feature is intended to improve consistency and reduce duplication without changing the underlying meaning of the data.