What Is Data Cleansing?

As a business grows and matures, the size, number, formats, and types of its data assets change along with it. Evolutions in payroll systems, new network hardware and software, emerging supply-chain technologies, and the like can all create the need to migrate, merge, and combine data from multiple sources. "Dirty" data — data that contains redundancies, includes duplicate records, is missing information, or has been otherwise corrupted in the process of being imported or merged — is one inevitable result. Data transformation, which involves "massaging" data to make its fields and formats conform to those of its destination, can also be the source of hair pulling and sleepless nights. The art and science of handling these odious tasks is called "data cleansing."

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