The data processing cycle is used anywhere data has to be input and processed in order to achieve a desired output. That output may be then used as input for additional processing, repeating the cycle. During processing, data is also stored for later use, whether to be processed along with new input or to provide input for other processes, thus creating new output.
The expanded cycle is the same, the only difference being that data has to be originated before being input, while the output has to be distributed. The originated data is known as the source document, which could be something as simple as an appointment booking form that you fill in. The data from that document is then input and processed (and stored), and the output is distributed in the form of report documents, which could be as simple as a letter telling you when your appointment is, a copy of which will be kept on file along with the source document. When you come to attend your appointment, your report document becomes the source document, which is then input and processed, and the output distributed, confirming your attendance for the appointment. During the appointment, new data is originated, thus starting the cycle all over again.
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The (standard) data processing cycle has the following repeating loop:
The input stage is simply the point at which data is input while the processing stage refines the data in order to reach a desired output. the cycle then repeats. In some cases, feedback from the output may itself lead to the creation of new input. However, during processing, the processed data must be stored and may be subject to further processing and storage. Also, new input is often dependant upon the stored data from a previous input.
In the extended data processing cycle, there are two additional stages:
The origination stage defines the point at which data is collected for input. The main data processing cycle is as before, however the output is then distributed in the form of report documents which may be used subsequent originations.
Expanded data processing is defined through three parts. They are origination, distribution, and storage. This is the process used by computers to save data during daily use.
The data processing cycle is the process of converting data into useful information. The data is processed again and again until the accurate result is achieved. The three basic activities of data processing are: 1. Input 2. Processing 3. Output
What are the important of electronic data processing and manual data processing? What_are_the_importants_of_electronic_data_processing_and_manual_data_processing
business data processing: accounting, billing, inventory management, etc.scientific data processing: analysis of experimental data, simulation and modeling of physical systems, experimental data collection, etc.
There are different methods of data processing. Some methods are manual data processing, mechanical data processing, online processing, batch processing and electrical data processing.
Data processing is basically the transformation of raw data to import data through a procedure. Data is controlled to create results that lead to the goals of an issue or improvement of a current circumstance. Methods of data processing:- Manual Data Processing, Data is processed manually without using any machine or tools to get the required result. Mechanical Data Processing, Data is processed using different devices like a typewriter, mechanical printers, and other devices. Electronic Data Processing, Data is processed through a computer; data & set of instructions are given to the computer as input, and computer-processed data according to given instruction. · Batch processing · Online processing · Distributed processing · Real-time processing