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.
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.
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. ยท Batch processing ยท Online processing ยท Distributed processing ยท Real-time processing
There are six (6) stages of the data processing cycle:data collectiondata preparationdata inputdata processingdata storagedata output
source documents are collected and converted into some convenient form processing
source documents are collected and converted into some convenient form processing
Data processing is a process in which raw data is converted in usable format or information Data processing cycle - data is processed again and again to get desired or accurate results for more details visit - http://www.relyservices.com
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
"Data processing is simply the conversion of raw data into meaningful information through a process."& Data Processing Cycle is described by following imageImage source: jhigh.co.uk
Ans.The data-processing cycle describes how data is processed into information by the computer. The input stage is the first stage of the data-processing cycle. Data is collected and entered into the computer. In the processing stage, the computer converts data into information according to given instructions. After processing, the information is presented to users in the output stage. Information is stored on different types of media in the storage stage. The stored information can be used later for a different data processing cycle. In this way, the data- processing cycle continues.
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
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5 example of data processing
The second stage of the processing cycle is data input. This involves entering raw data into the computer system for further processing and analysis. Input devices such as keyboard, mouse, and scanner are used to input data into the computer.
The four phases of the information processing cycle are input, processing, output, and storage. Input involves capturing data, processing involves manipulating and analyzing the data, output involves presenting the results, and storage involves saving the data for future use.