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
manual data input is cheap
There are different methods of data processing. Some methods are manual data processing, mechanical data processing, online processing, batch processing and electrical data processing.
Before the intruduction of this database concept many people used Manual Processing and File based systems.But there are some limitations. Manual Processing-Time consuming Does not support large volumes of data File Based System-Data Inconsistency Duplication of data Security problems And to overcome the limitations of these processing this Database processing was intruduced
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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
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Advantages: Economic. Once an Electronic Data Processing system is created and implemented, over time it reduced the costs of managing data by a significant margin. Reduced Labor. Duplication of effort and repeated entries due to mistakes in manual data entry are reduced or eliminated by EDP.
what are the 6 advantages of electrinic data processing
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 of storing data in a spreadsheet include easy organization, quick data entry, and customizable formatting options. However, disadvantages may include limited data handling capabilities, potential for errors in manual data entry, and restrictions on collaborative editing.
Advantages of gathering large quantities of data include more insights, better decision-making, and improving predictions. However, disadvantages can include increased storage and processing costs, potential privacy concerns, and the challenge of ensuring data quality.
There are both advantages and disadvantages of data collection methods in statistics. The main advantages are the metrics and correlation one can draw from statistics. The disadvantages stem from sampling errors.
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