Clean, Standardize, and Reformat Any Data Type. The process of data cleaning involves fixing or removing incorrect, corrupted, incorrectly formatted, duplicate, or incomplete data. Whenever we combine multiple data sources, there are many opportunities for some of the data to be duplicated or mislabeled as a result.