Error-free data is essential to success. When data becomes altered or is defective through error, it could influence an organization’s operational decisions and overall performance. As such, it’s mandatory to execute data cleansing from time to time to remove this “dirty” data. Below is a quick look into what data cleansing requires, the types of data it cleans up and why it’s such an crucial step in the data preparation process.
Infographic provided by Association Analytics, data analytics platform