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.
Examples of processing device are computers, mobile phones and calculators. Any device that processes data can generally be referred to as a computer.
Data processing includes the input, verification, organization, storage, retrieval, transformation, and extraction of information from data. Processing can also include the execution of a program.
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.
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
Ans.The data-processing cycle describes how data is processed into information by the computer. The input stage is the first stage of the data-processing cycle. Data is collected and entered into the computer. In the processing stage, the computer converts data into information according to given instructions. After processing, the information is presented to users in the output stage. Information is stored on different types of media in the storage stage. The stored information can be used later for a different data processing cycle. In this way, the data- processing cycle continues.
The objective of data processing is to convert data into knowledge. Data processing can involve sorting, validating, and summarizing data into useful information.