Typically, the process of making data error-free is called data cleansing. It’s an integral part of data processing and mining. Without it, you can never draw feasible decisions or results.
On the flip side, dirty and incomplete records won’t let you make excellent decisions. In short, you won’t have the outcome via data analytics or mining that can prove a turning point or breakthrough.