Relationship between raw data and information

What is the difference between data and information?

relationship between raw data and information

Data. Think of data as a "raw material" - it needs to be processed before it can be turned into something useful. Hence the need for "data processing". The Difference Between Data and Statistics. While the terms 'data' It is the raw information from which statistics are created. Statistics are the. Data: Data is raw, unorganized facts that need to be processed. . The major difference between data and information is that data is raw material that is to be.

relationship between raw data and information

A distinction is made between data and information, to the effect that information is the end product of data processing. Raw data that has undergone processing are sometimes referred to as "cooked" data in a colloquial sense.

For example, a point-of-sale terminal POS terminal, a computerized cash register in a busy supermarket collects huge volumes of raw data each day about customers' purchases. However, this list of grocery items and their prices and the time and date of purchase does not yield much information until it is processed.

Once processed and analyzed by a software program or even by a researcher using a pen and paper and a calculatorthis raw data may indicate the particular items that each customer buys, when they buy them, and at what price; as well, an analyst or manager could calculate the average total sales per customer or the average expenditure per day of the week by hour. This processed and analyzed data provides information for the manager, that the manager could then use to help her determine, for example, how many cashiers to hire and at what times.

Difference Between Data and Information (with Comparison Chart) - Key Differences

Such information could then become data for further processing, for example as part of a predictive marketing campaign. As a result of processing, raw data sometimes ends up being put in a databasewhich enables the raw data to become accessible for further processing and analysis in any number of different ways.

Tim Berners-Lee inventor of the World Wide Web argues that sharing raw data is important for society. Inspired by a post by Rufus Pollock of the Open Knowledge Foundation his call to action is "Raw Data Now"meaning that everyone should demand that governments and businesses share the data they collect as raw data.

He points out that "data drives a huge amount of what happens in our lives… because somebody takes the data and does something with it.

Difference between Information and Data

Key Differences Between Data and Information The points given below are substantial, so far as the difference between data and information is concerned: Raw facts gathered about a condition, event, idea, entity or anything else which is bare and random, is called data.

Information refers to facts concerning a particular event or subject, which are refined by processing. Data are simple text and numbers, while information is processed and interpreted data.

relationship between raw data and information

Data is in an unorganized form, i. On the other hand, when the data is organised, it becomes information, which presents data in a better way and gives meaning to it.

Difference between Information and Data

Data is based on observations and records, which are stored in computers or simply remembered by a person. As against this, information is considered more reliable than data, as a proper analysis is conducted to convert data into information by the researcher or investigator.

The data collected by the researcher, may or may not be useful to him, as when the data is gathered, it is not known what they are about or what they represent?

relationship between raw data and information

Conversely, information is valuable and useful to the researcher because it is presented in the given context and so readily available to the researcher for use. Data is not always specific to the need of the researcher, but information is always specific to his requirements and expectations, because all the irrelevant facts and figures are eliminated, during the transformation of data into information.

When it comes to dependency, data does not depend on information.

relationship between raw data and information