Data cleansing refers to the process of identifying and correcting or removing inaccurate, incomplete, or irrelevant data from a dataset. This ensures that the data used for mailing, analytics, or other purposes is accurate and reliable. The process often includes standardizing address formats, correcting spelling errors, and removing duplicates to comply with USPS guidelines and industry standards.
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