Data Cleansing

Definition updated on November 2023

What is data cleansing?

Data cleansing, also known as data cleaning or scrubbing, is the process of detecting and correcting (or removing) corrupt or inaccurate records from a dataset. It involves identifying incomplete, incorrect, inaccurate, irrelevant parts of the data and then replacing, modifying, or deleting them.

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