Information Processing: An Overview



Many people use the terms data processing and information processing interchangeably, yet the two have a subtle difference in meaning. Data processing refers to the steps involved in collecting, manipulating, and distributing data to achieve certain goals. Data processing can be performed manually or electronically. Using computers for data processing is called electronic data processing (EDP). The term data processing historically has been used to mean EDP.

The objective of all data processing, whether manual or electronic, is the conversion of data into information that can be used in making decisions. The term information processing, then, includes all the steps involved in converting data into information:
Thus it includes data processing as well as the process of converting data into information.

What is the difference between data and information? Data refers to raw facts collected from various sources, but not organized or defined in a meaningful way. Data cannot be used to make meaningful decisions. For example, a bank manager may have very little use for a daily list of the amounts of all checks and deposits from the branch offices. But once data is organized, it can provide useful informa-tion-perhaps in the form of a summary report giving the dollar value and total number of deposits and withdrawals at each branch. Information, then, is processed data that increases understanding and helps people make intelligent decisions (see Figure below).

The Data Processing Flow

To be useful, information must be accurate, timely, complete, concise, relevant, and in a form easily understood by the user. It must be delivered to the right person at the right time. If information fails to meet any of these requirements, it fails to meet the needs of those who must use it and is of little value.
 


Last Updated Jan.5/99