Data processing refers to the transformation of raw data into meaningful information that can be used by individuals or organizations. It involves a series of operations performed on data to transform, analyze, and organize it into a useful format for further use. The process of data processing typically involves the following stages:
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Data collection: This involves getting the data/facts needed for processing from the point of its origin to the computer.
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Data input: The collected data is converted into machine-readable form by an input device, and sent into the machine.
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Data processing: This is the transformation of the input data to a more meaningful form (information) in the CPU. During this stage, the data is processed for validation, sorting, filtering, analyzing, and storing.
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Data output: This is the production of the required information, which may be input in the future. The output can be in the form of graphs, documents, etc. .
Data processing can be done manually using a pen and paper, mechanically using simple devices like a typewriter, or electronically using modern data processing tools like computers. There are different types of data processing methods, including batch processing, real-time processing, multiprocessing, and time-sharing.
In summary, data processing is the method of collecting raw data and translating it into usable information through a series of stages.
