Data – raw, disparate facts pertaining to an object or subject in focus.
Information – refined processed data stringed together with context
Data – text, number, blobs
Information – contextual text numbers and blobs to form meaningful data
Data – by a collection of facts and observations
Information – by analysis of collected data
Data – unorganized
Information – organized
Data – useful as input for further processing, but mostly meaningless when taken independently
Information – useful, and is used as input in decision making and process development
Data – not specific, has degree of randomness
Information – specific to subject and context
Data – independent, serves as “axioms”, and as starting points for further processing
Information – dependent on data; data serves as input for information
Census data is collected as raw facts of gender, date of birth, zip code etc.
Data here would be millions of records of the form:
Female, 01/01/1950, 33574
Male, 08/30/1076, 84732 etc.
This data is processed and the following types of information can be gleaned-
% of women in the population
% of men above the age of 75
Population in the zip code 33574
% increase/decrease of women in the zip code 33574
This information can then serve as input in helping to make decisions involving demography-based policies.
DATA -> INFORMATION -> KNOWLEDGE (to assist in decision-making)