Research process starts with the collection of data, which plays a significant role in the statistical analysis. We quite commonly use the term ‘data’ in the different context. However, in general, it indicates the facts or statistics gathered by the researcher for analysis in their original form. When the data is processed and transformed in such a way that it becomes useful to the users, it is known as ‘information’.

While data is an unsystematic fact or detail about something, information is a systematic and filtered form of data, which is useful. In this articl, you can find all the important differences between data and information.

Information is described as that form of data which is processed, organised, specific and structured, which is presented in the given setting. It assigns meaning and improves the reliability of the data, thus ensuring understandability and reduces uncertainty. When the data is transformed into information, it is free from unnecessary details or immaterial things, which has some value to the researcher.

The term information discovered from the Latin word ‘informare’, which refers to ‘give form to’. Raw data is not at all meaningful and useful as information. It is refined and cleaned through purposeful intelligence to become information. Therefore data is manipulated through tabulation, analysis and similar other operations which enhance the explanation and interpretation.

Data is defined as the collection of facts and details like text, figures, observations, symbols or simply description of things, event or entity gathered with a view to drawing inferences. It is the raw fact, which should be processed to gain information. It is the unprocessed data, that contains numbers, statements and characters before it is refined by the researcher The term data is derived from Latin term ‘datum’ which refers to ‘something given’. The concept of data is connected with scientific research, which is collected by various organisations, government departments, institutions and non-government agencies for a variety of reasons.