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Data Processing

What is Data Processing:
A process of converting data into meaningful information is called data processing. Data is the input and information is the output of a data processing system. Data is important but it cannot be used for decision-making. It must be converted into meaningful information in order to use it for making important decisions. This conversion consists of different steps which are performed in a sequence.
Examples Of  Data  Processing:
Some examples of data processing are as follows:
  1. The marks of students in the examination are stored as data. Suppose a list of  students is required who got A grade in the examination.Some processing will be applied on marks of the students. This process will give new information in the form of desired list. In this data processing,the marks of students are the data (input) and the list of students with A grades is the information (output)
  2. People deposit money in banks that is stored as data in registers or computers.Suppose the bank manager wants to know the total amount deposited in the bank. The total amount can be found  by adding all amounts deposited in the bank. In this data  processing, the amount of different people is data (input) and the sum of all amounts is the information (output).
Types Of  Data Processing:
 Data processing is an important function that converts our data into meaningful information. In this process, different calculations are performed. Most of data processing is done using computers now a days. Before computers, data processing was done by simple machine like calculators. Everything was done by human beings manually before calculators. Three levels of data processing are as follows:
  • Manual Data Processing:
  • Mechanical Data Processing:
  • Electronic Data Processing:

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