Data Cleansing/ Data Cleaning/ Data Scrubbing

Data cleansing, also referred to as data scrubbing and data cleaning, is the process of detecting, correcting or removing corrupt or inaccurate records within a dataset. If data is incorrect, outcomes and algorithms are unreliable, even though they may look correct. Through data cleansing, you can identify which contacts in your database are incomplete, incorrect, duplicated or irrelevant.