Types and Objectives of Data Processing

Objectives of Data Processing:

The following are the objectives of data processing:

·              To provide mass storage for relevant data.

·              To make easy access to the data for the user.

·              To provide prompt response to user requests for data.

·              To eliminate redundant data.

·              To allow multiple users to be active at one time.

·              To allow for growth in the data base system.

·              To protect the data from harms like physical and unauthorized access.

Types of Data Processing Systems:

Types of data processing can be understood on basis of methods and technology adopted. Generally mechanical and electronic data processing is used and at times manual data processing is used. According to their working, Data processing systems can be of different types:

a. Manual : In manual data processing system, whole processing is done manually without use of machine or electronic device i.e. the clerical staff that perform data processing in an organized way with the goal of producing meaningful information. This method is slow and less reliable, chances of error are high and this method is very old when technical innovations were few and rare. This also makes processing expensive and requires large manpower depending on the data required to be processed. Data acquisition, filing, storage, processing, calculation, output production, all these tasks are done manually.

b. Mechanical Data Processing: Data processing is done by use of mechanical device or very simple electronic devices like calculator and typewriters. The advantage of this method is more reliability and saving of time as compared to manual data processing but still the output is limited. Any device which facilitates data processing can be considered under this category.

c. Electronic Data Processing (EDP) : This is the fastest and best available method with highest reliability and accuracy. With the growth of the organization, it becomes inefficient to process large amount of data with high accuracy through manual or mechanical method. EDP offers better method of data processing at a low cost as it relies on the computer and principles of electronics for processing data.