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Data scrubbing refers to the procedure of modifying or removing incomplete, incorrect, inaccurately formatted, or repeated data in a database. The key objective of data scrubbing is to make the data more accurate and consistent.
Data scrubbing is a vital strategy for ensuring that databases remain accurate. It is especially important in data-intensive industries, including telecommunications, insurance, banking and retailing. Data scrubbing systematically evaluates data for flaws or mistakes with the help of look-up tables, rules and algorithms.
Data scrubbing is also referred to as data cleansing.