Computer data processing is any computering process that converts datas into information or knowledge. The processing is usually assumed to be automated and running on a computer. Because datas are most useful when well-presented and actually informative, data-processing systems are often referred to as information systems to emphasize their practicality. Nevertheless, the terms are roughly synonymous, performing similar conversions; data-processing systems typically manipulate raw data into information, and likewise information systems typically take raw data as input to produce information as output.Data can be seen as a raw material, which be later coverted to information. i.e For a company that wants to produce bornvita, such company will need to make use of cocoa,which means that cocoa is the raw material for the production of borntiva, likewise data is the raw material for information. Data has to pass through a specific process before it could be changed to information, and it is called a process.
Data processing most often refers to computer processes that convert data into information or knowledge. Data processingmay also refer to: * Information processing; the change (processing) of information in any manner detectable by an observer. * Data analysis; processing data with the goal of highlighting, drawing conclusions, and supporting decision making. * Data entry done by a data entry clerk.
There are a number of data processing techniques that can be used. The most common ones are batch processing, online processing, real-time processing and distributed processing.
the electronic data processing consists of three stages which are the INPUT, the PROCESSING and the OUTPUT stages.
A 2nd chance algorithm is used in data processing to handle errors by giving a second opportunity for processing data that may have caused an error initially. This algorithm helps improve the efficiency and accuracy of data processing by allowing for a retry of the processing step that encountered an error, reducing the likelihood of data loss or corruption.
anallyzing the data or information
data
Business data processing and Scientific data processing.
What are the two areas of data processing?
The example of electronic data processing is the use of the computer in processing data.
Business data processing is used in a mail merge to retrieve customer's information in sending out advertising. A business accounts dept use data processing to create reports on the financial state of the business, customer credits and debits, personnel wages, etc.
1. business data processing 2.scientific data processing ako si jayveelim ang 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.
What are the important of electronic data processing and manual data processing? What_are_the_importants_of_electronic_data_processing_and_manual_data_processing
The objective of data processing is to convert data into knowledge. Data processing can involve sorting, validating, and summarizing data into useful information.
In information processing,a Data Processing System is a system which processes data which has been captured and encoded in a format recognizable by the data processing system or has been created and stored by another unit of an information processing system.
what is responsibities of data processing officer
What are the four elements in data 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