Data cleansing is a process that involves the uncovering and correction of inconsistencies and errors in data that are gathered from various sources. It is a process also known by the name of data scrubbing. Data that is incomplete or has mistakes within it, can have several causes. These include accidental deletion, user error, and outdated information. This type of data is known as coarse data.