Electronic Data Processing (EDP) can refer to the use of automated methods to process commercial data. Typically, this uses relatively simple, repetitive activities to process large volumes of similar information. For example: stock updates applied to an inventory, banking transactions applied to account and customer master files, booking and ticketing transactions to an airline's reservation system, billing for utility services. Electronic data processing in the Volkswagen factory Wolfsburg, 1973 The first commercial business computer was developed in the United Kingdom in 1951, by the Joe Lyons catering organization. This was known as the 'Lyons Electronic Office' - or LEO for short. It was developed further and used widely during the 1960s and early 1970s. (Joe Lyons formed a separate company to develop the LEO computers and this subsequently merged to form English Electric Leo Marconi and then International Computers Ltd.)
Early commercial systems were installed exclusively by large organizations. These could afford to invest the time and capital necessary to purchase hardware, hire specialist staff to develop bespoke software and work through the consequent (and often unexpected) organizational and cultural changes. At first, individual organizations developed their own software, including data management utilities, themselves. Different products might also have 'one-off' bespoke software. This fragmented approach led to duplicated effort and the production of management information needed manual effort. High hardware costs and relatively slow processing speeds forced developers to use resources 'efficiently'. Data storage formats were heavily compacted, for example. A common example is the removal of the century from dates, which eventually lead to the 'millennium bug'. Data input required intermediate processing via punched paper tape or card and separate input to a repetitive, labor intensive task, removed from user control and error-prone. Invalid or incorrect data needed correction and resubmission with consequences for data and account reconciliation. Data storage was strictly serial on paper tape, and then later to magnetic tape: the use of data storage within readily accessible memory was not cost-effective. As with other industrial processes commercial IT has moved in all respects from a bespoke, craft-based industry where the product was tailored to fit the customer; to multi-use components taken off the shelf to find the best-fit in any situation. Mass-production has greatly reduced costs and IT is available to the smallest company. LEO was hardware tailored for a single client. Today, Intel Pentium and compatible chips are standard and become parts of other components which are combined as needed. One individual change of note was the freeing of computers and removable storage from protected, air-filtered environments. Microsoft and IBM at various times have been influential enough to impose order on IT and the resultant standardizations allowed specialist software to flourish. Software is available off the shelf: apart from Microsoft products such as Office, or Lotus, there are also specialist packages for payroll and personnel management, account maintenance and customer management, to name a few. These are highly specialized and intricate components of larger environments, but they rely upon common conventions and interfaces. Data storage has also standardized. Relational databases are developed by different suppliers to common formats and conventions. Common file formats can be shared by large main-frames and desk-top personal computers, allowing online, real time input and validation. In parallel, software development has fragmented. There are still specialist technicians, but these increasingly use standardized methodologies where outcomes are predictable and accessible. At the other end of the scale, any office manager can dabble in spreadsheets or databases and obtain acceptable results (but there are risks).
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What are the important of electronic data processing and manual data processing? What_are_the_importants_of_electronic_data_processing_and_manual_data_processing
Advantages- Speed- Analyse large amounts of data- Takes less timeDisadvantages- Complexity of the code can cause problems- Programs are liable to bugs which may effect the dataThese are but a few reasons
The 5 elements are hardware, software, user program, procedure and personnel. Data processing transforms data into meaningful information to carry out business or scientific activities.
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
central processing unit(cpu)
The example of electronic data processing is the use of the computer in processing data.
What are the important of electronic data processing and manual data processing? What_are_the_importants_of_electronic_data_processing_and_manual_data_processing
P. Hansen has written: 'Systems of Cities and Facility Location' 'Job descriptions in data processing' -- subject(s): Electronic data processing personnel, Job descriptions 'Job trends in data processing' -- subject(s): Electronic data processing, Electronic data processing departments, Electronic data processing personnel, Vocational guidance 'Grplot'
the electronic data processing consists of three stages which are the INPUT, the PROCESSING and the OUTPUT stages.
Michael Barlotta has written: 'Jaguar development with PowerBuilder 7' -- subject(s): Application software, Development, Distributed processing, Electronic data processing, PowerBuilder
what are the 6 advantages of electrinic data processing
refers to the use of the computer in processing data
Norman N. Noerper has written: 'Opportunities in Data Processing (Opportunities in ...' 'Opportunities in data processing' -- subject(s): Electronic data processing, Vocational guidance 'Opportunities in data processing careers' -- subject(s): Electronic data processing, Vocational guidance
John S. Melin has written: 'Libraries and data processing---where do we stand?' -- subject(s): Libraries, Electronic data processing 'Libraries and data processing--' -- subject(s): Libraries, Electronic data processing, Automation
One involves mechanics; the other electronics.
Marilyn A. Schnake has written: 'Data-processing concepts' -- subject(s): Electronic data processing, Electronic digital computers
Ellen Marxer has written: 'Elements of data processing' -- subject(s): Electronic data processing, Electronic digital computers