Why Data Management relies heavily on Data cleansing and How Automating it is a wise decision
Data cleansing is a rigorous process in which erroneous, unfounded, and unethical data is discovered and removed from the database. The process also involves going through the database and detecting incomplete, improper, and irrelevant data and altering and modifying it to make it more accurate. Regardless of how systematic and organized, the data collection process …