find and fix erroneous and flawed parts and values such as typos and misspelt numbers. Data cleaning shouldnt just involve finding and removing erroneous information from customer databases. Instead it should be viewed as a chance to combine customer data. When possible you should include more details like phone numbers email addresses or supplementary contacts.
