Data processing is the act of taking raw data and converting it into a more useful form, typically for analysis or storage. It involves a number of steps, including collecting and inputting the data, cleaning and organizing it, and transforming it into a format that can be more easily analyzed. Data processing can be done manually or through the use of specialized software and tools. It is an important part of the data management process, as it helps to ensure that the data is accurate, consistent, and useful.
Overall, data processing is an important step in the data analytics process, as it ensures that the data being used is accurate, consistent, and usable for the intended purpose.