After the industrial revolution, the needs of the mankind increased. Man had to deal with large volume of data. He had to cope up with more and more information. The information collected is to be sorted out, stored and retrieved at short intervals. This necessitated the concept of data processing.
As the complexities of business increased, the number of functions to be performed also increased. The data processing system must be responsible to supply the information when it is needed, so as to make the performance of the organization optimum.
Let us have a look at the general objectives of Data Processing.
1. Handle huge volume of Data:
The basic objective of data processing is to handle huge data in order to enable the organization to function efficiently.
2. Qualitative and quantitative information:
The next important want of data processing is to provide qualitative and quantitative information.
3. Proper and Timely Information:
Different kinds of information are needed in almost all organizations. Data processing provides correct and timely information.
4. Storage and retrieval of data:
Through data processing, information can be stored and retrieved as and when necessary.
5. Helps in Decision-making:
In every organization various decisions are taken at different levels. Such decisions can be more accurate if effective data processing system is used
6. Improves Productivity:
To improve productivity, various measures are to be identified and implemented. It is possible through the properly designed data processing system.
7. Maintaining Performance at Optimum Level:
To maintain the performance of the organization at best possible level various functions at different levels of the organization are to be coordinated. There should be a smooth flow of information among various functional departments. This can be easily achieved through data processing system.
8. Efficient Office Management:
In office management also data processing plays a very important role, through which office automation can be done.
As the complexities of business increased, the number of functions to be performed also increased. The data processing system must be responsible to supply the information when it is needed, so as to make the performance of the organization optimum.
Let us have a look at the general objectives of Data Processing.
1. Handle huge volume of Data:
The basic objective of data processing is to handle huge data in order to enable the organization to function efficiently.
2. Qualitative and quantitative information:
The next important want of data processing is to provide qualitative and quantitative information.
3. Proper and Timely Information:
Different kinds of information are needed in almost all organizations. Data processing provides correct and timely information.
4. Storage and retrieval of data:
Through data processing, information can be stored and retrieved as and when necessary.
5. Helps in Decision-making:
In every organization various decisions are taken at different levels. Such decisions can be more accurate if effective data processing system is used
6. Improves Productivity:
To improve productivity, various measures are to be identified and implemented. It is possible through the properly designed data processing system.
7. Maintaining Performance at Optimum Level:
To maintain the performance of the organization at best possible level various functions at different levels of the organization are to be coordinated. There should be a smooth flow of information among various functional departments. This can be easily achieved through data processing system.
8. Efficient Office Management:
In office management also data processing plays a very important role, through which office automation can be done.
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