Data cleansing is the correct process for removing or correcting erroneous, incomplete, or old data from databases. It involves identifying and fixing data quality issues like errors, inconsistencies, and outdated records. Data eradication is not a standard term, data unloading refers to extracting data, and data purging typically refers to deleting old data regardless of quality.