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 focuses on ensuring that the data being used is accurate, consistent, and complete. It involves identifying and correcting errors, removing duplicates, and providing a clean and usable dataset for users. A backup copy of the data is also created to ensure data integrity.