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What are the stages of electronic data processing?
the electronic data processing consists of three stages which are the INPUT, the PROCESSING and the OUTPUT stages.
What is the important of data processing?
The importance of data processing is that it presents data in the desired format. The processing of data will depend on the data that is input in the system.
Data to be entered into the computer for processing is called?
the answr is "INPUT"
What is the second stage of the processing cycle?
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.
What is the raw material in the production of information?
The raw material in the production of information is data. Data are facts, statistics, or information used as input for analysis, processing, or discussion to generate meaningful insights, knowledge, or communication.
What are four functions of a computer?
1 : Input (Enter Data ) 2: Processing(Manipulate Data ) 3: Output ("View" Processed Data ) 4: Storage ( Store Data)
Data processing life cycle?
1) Input is when the data is entered into the computer: There are 3 stages involved when imputing data; they are collection, verification, and coding. Collection collects the data and assembles it. The verification checks whether the data being processed it exact and complete. Coding means translating the data, in order for it to be used into machine readable form. 2) Process - The data is processed and organised. 3) Output is when the data which had been processed is presented as a document etc. Answer: Data processing can be likened to the manufacturing process. In manufacturing,raw materials are processed, or made into a finished product. The raw materials maybe considered "input" to the processing machine. The finished product is "output." Inthe electronic computer, data are the raw material or input to the computer. Thefinished product, or output, is usually a printed report or an updated file containing datathat have been processed or manipulated in some way. The three functions (or stages)of data processing are: input, process (or manipulation), and output. Input involvescapturing data and getting it into a farm understandable to the computer. Processingencompasses the various steps taken by the computer to manipulate the data andprovide information. Output makes the computed results of processing available for usein decision-making
What are the three stages in the proceeding of data called?
The three stages in the processing of data are typically referred to as data input, data processing, and data output. In the data input stage, raw data is collected and entered into a system. During data processing, the input data is organized, analyzed, and transformed into a usable format. Finally, in the data output stage, the processed information is presented in a form that is understandable and actionable, such as reports or visualizations.
Which are the four major data processing functions of a computer?
The four major ways of data processing is 1.accepting inputs 2.processing which involve the sorting and manipulation of data. 3.storage,data is been stored into the hard disk or any memory available and 4.output.data is been sent out as INFORMATION in a format that is readable and useable.
What are four phases of the infornmation processing cycle?
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.
What are the various phases of data processing?
Data processing includes the input, verification, organization, storage, retrieval, transformation, and extraction of information from data. Processing can also include the execution of a program.
How can a system achieve balanced output when processing unbalanced input?
A system can achieve balanced output when processing unbalanced input by using algorithms or mechanisms that adjust the processing of the input data to ensure that the output remains stable and consistent. This can involve techniques such as normalization, weighting, or dynamic adjustments to account for the variations in the input data.
