Data cleansing FAQ

Data cleansing, also known as data scrubbing or data cleaning, is the process of identifying and correcting or removing inaccuracies, inconsistencies, and duplicates in a dataset. It is crucial because clean and accurate data is essential for making informed business decisions, improving operational efficiency, and enhancing customer experiences.

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