Data Cleansing: Process of identifying and correcting errors in data to improve quality. Involves removing duplicates, fixing inconsistencies, validating accuracy, and standardizing formats. Essential for reliable analysis and decision-making.
Data Cleansing: Process of identifying and correcting errors in data to improve quality. Involves removing duplicates, fixing inconsistencies, validating accuracy, and standardizing formats. Essential for reliable analysis and decision-making.