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Data cleansing (aka data cleaning or data scrubbing) is the act of making system data ready for analysis by removing inaccuracies or errors. This process prevents questionable and costly business decisions based on messy data.
Data volumes and sources have grown much bigger and are expected to scale up even quicker. Companies wish to access valuable data to make competitive and good business decisions.
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