+Data Cleansing, also known as [Data Scrubbing](/wiki/data_scrubbing), is the process of detecting and correcting (or removing) corrupt or inaccurate records from a dataset. This vital step enhances [Data Quality](/wiki/data_quality) and consistency, ensuring data is reliable for analysis and decision-making.
+## See also
+- [Data Integrity](/wiki/data_integrity)
+- [Data Preprocessing](/wiki/data_preprocessing)
+- [Data Validation](/wiki/data_validation)
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