The main goal of a data quality process consists in capturing erroneous and invalid data, processing them and eliminating duplicates and, lastly, exporting valid data to the user without failing to store a back-up copy into the database.
A data quality process aims to detect erroneous and invalid information, clean it up by removing duplicates, and then provide the user with accurate data.  It also ensures that a backup is created for the original data before being sent to the user.