The document discusses the distinctions between data, information, and knowledge. Data consists of raw facts without meaning, whereas information is processed, meaningful data that aids in decision-making. Knowledge involves understanding and applying information to enhance learning and problem-solving.

1. Knowledge
Information
Data
Understanding the difference between Data,
Information & Knowledge

2. Raw, unevaluated facts
and figures
Stored in data
warehouse
Example: Feedback of
customers
No meaning in itself
Data

3. Meaningful and useful
for decision making
Involves communication
and reception
Example: Solving the
problems of customers
by investigating
feedback form
It notifies, reduces
uncertainties and
stimulates to take action
Information
(Relevant, Timely,
Accurate & Cost
effective)

4. Efficient handling of the
information
It availability to right
person at right time
Example: Developing
product so customer
doesn't encounter same
problem in future.
Enhance learning
Knowledge