Data cleansing is the process of modifying or eliminating data in a database that is wrong, deficient, inappropriately formatted, or duplicated. An organization in a data-intensive field like banking, insurance, retailing, telecommunications, or transportation may use a data cleansing services to analytically scrutinize data for errors by using rules, algorithms, and look-up tables.