Data processing is what happens when raw data is taken and turned into something useful or meaningful. It starts with raw data, like numbers, text, or images. Tools or systems organize, analyze, or change the data to make it easier to understand or use. The result is something useful, like a report, a graph, or a decision. It’s like cooking: you take raw ingredients (data), follow a recipe (a set of steps), and end up with a delicious dish (useful information). For example, when you deposit a check using a banking app, the app processes the image of the check to extract information like the amount and your account number.
