When you work with diverse document types like Severance Plan, you understand how significant precision and attention to detail are. This document type has its own specific structure, so it is essential to save it with the formatting undamaged. For this reason, working with this kind of paperwork can be quite a challenge for traditional text editing applications: a single wrong action might mess up the format and take additional time to bring it back to normal.
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The steps in cleaning data are parsing, correcting, standardizing, matching, and consolidating. Parsing involves identifying individual data elements and isolating them in target files. Correcting fixes errors like typos or misspellings. Standardizing means following a set format. Matching involves searching and finding data across different sources.