What are the four elements in data processing?
An answer is still required...There are four basic elements of an Electronic Data Processing (EDP) system. These are:1. Hardware2. Software3. Procedure4. Personnel
input, process, output and storage.
The four essential elements of a comuter or input, output, processing and storage of data.
provider
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 5 elements are hardware, software, user program, procedure and personnel. Data processing transforms data into meaningful information to carry out business or scientific activities.
It's Batch Processing,Realtime Processing,On line Processing and Distributed Processing.
Computers excel at data processing due to several key features: **Speed and Efficiency:** Compared to manual processing, computers can perform calculations and manipulate data significantly faster. They can execute millions of instructions per second, handling massive datasets efficiently. **Accuracy:** Computers minimize errors inherent in manual data processing. They follow programmed instructions precisely, reducing the risk of human mistakes like typos or miscalculations. **Storage Capacity:** Modern computers boast immense storage capabilities, allowing them to hold vast amounts of data. This eliminates limitations of physical storage like files or folders and facilitates easy retrieval of information. **Processing Power:** Central Processing Units (CPUs) are the brains of computers, equipped with cores specifically designed to handle complex calculations and data manipulation. This processing power enables tasks like sorting, filtering, and analyzing large datasets efficiently. **Versatility:** Computers are not limited to specific data types. They can process numbers, text, images, audio, and video data with relative ease. This versatility makes them adaptable to various data processing needs. **Automation:** Repetitive data processing tasks can be automated using scripts or programs. This frees up human resources for more complex tasks and ensures consistency in execution. **Data Analysis Capabilities:** Computers can go beyond simple processing. Specialized software allows for data analysis, identifying trends, patterns, and relationships within datasets. This provides valuable insights that might be difficult or impossible to glean from raw data. **Scalability:** Computing power and storage capacity can be scaled up or down depending on the data processing needs. This allows businesses or organizations to adjust their infrastructure as data volumes fluctuate. In summary, the combination of speed, accuracy, storage capacity, processing power, versatility, automation capabilities, and data analysis tools makes computers the ideal choice for handling vast amounts of data in today's information age.
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
Ellen Marxer has written: 'Elements of data processing' -- subject(s): Electronic data processing, Electronic digital computers
anallyzing the data or information
The four computer functions are: - data input -data processing -data storage and -data output The relationship between these and processing is that when data is entered into a computer,that is input, then the computer fetches it,decodes it executes it and results are stored in the CPU registers or even the user can choose to store to any other storage media.Therefore,the four functions of a computer are stages of information processing.