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Business Data Processing (BDP): Data processing in accounting or business management Scientific Data Processing (SDP): Data processing in experiments, or computations using data collected from such activities.
Manual data processing involves tasks such as sorting, organizing, and calculating data without the use of computers. Examples include tallying sales figures using a pen and paper, creating reports by hand, or filling out forms manually instead of using digital systems.
Information science is the field of study that deals with managing, organizing, and processing information, as well as the automatic retrieval of information from various sources using technology and systems. It encompasses disciplines such as data management, information retrieval, and knowledge organization.
Data becomes information after processing through various operations such as sorting, organizing, interpreting, and summarizing. During processing, data is transformed into a more meaningful form that can answer specific questions, provide insights, or support decision-making. This transformation adds context, relevance, and structure to the raw data, turning it into valuable information.
MIS (Management Information Systems) refers to the use of information systems to aid in managerial decision-making. It involves the collection, processing, and analysis of data to generate meaningful information for management. Data processing, on the other hand, is a broader term that refers to the manipulation and transformation of data to produce useful information. It includes activities such as data entry, validation, sorting, summarizing, and generating reports. MIS is a specific application of data processing within a managerial context.
FIle processing systems was an early attempt to computerize the manual filing processing system that we are all familiar with. A file system is a method for storing and organizing computer files and the data they contain to make it easy to find and access them. File systems may use a storage device such as hard disk or CD-ROM and involve maintaining the physical location of files.
The push-pull processing method improves data handling efficiency in computer systems by allowing for simultaneous data transfer in both directions, reducing latency and improving overall system performance.
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compiling and organizing information
There are different methods of data processing. Some methods are manual data processing, mechanical data processing, online processing, batch processing and electrical data processing.
The manipulation of data into information by computers is called data processing. Processing involves organizing, sorting and making calculations from raw facts and figures to give them more meaning.
Marvin Gore has written: 'Student workbook [for] Elements of systems analysis' 'Elements of systems analysis for business data processing' -- subject(s): Business, Data processing, Management information systems, System analysis 'Student workbook for Elements of systems analysis for business data processing' 'Instructor's resource manual to accompany Elements of systems analysis for business data processing'
The data processing manager is the coordinator, planner, and supervisor of systems and software application activities. They also handle the organization of data processing activities.
Image processing is the method of processing data in the form of an image. Image processing is not just the processing of image but also the processing of any data as an image. It provides security.
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.
C. Orville Elliott has written: 'A guide to data processing' -- subject(s): Computers, Electronic data processing 'Business information processing systems' -- subject(s): Business, Computers, Data processing, Electronic data processing, Management, Management information systems, Office equipment and supplies
Commercial data processing "involves a large volume of input data, relatively few computational operations, and a large volume of output." Accounting programs are the prototypical examples of data processing applications. Information systems (IS) is the field that studies such organizational computer systems.