Data processing is a method of collecting raw data and converting it into usable information. It is usually performed in a step-by-step process by a team of data scientists and data engineers in an organization. Raw data is collected, filtered, sorted, processed, analyzed, stored and then presented in a readable format. By converting data into readable formats such as charts, tables, and documents, employees across the organization can understand and use the data.