Answer / Manish Kumar Tripathi

"Data cleansing, or data cleaning, is the process of identifying and correcting or removing errors, inconsistencies, and inaccuracies in datasets. It's crucial for ensuring that the data used for analysis is reliable and accurate. Poor quality data can lead to misleading results, wrong conclusions, and poor decision-making. Data cleansing helps maintain data integrity, improves data consistency, enhances data security, and reduces operational costs."n

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