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Session 3:Difference between Data, Information
and Knowledge
Kyaw Myo Min
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Datathe discrete, objective facts
about eventsis the essential raw
material needed for the creation of
information; however, it cannot beused to make decisions because it has
no meaning. It lacks meaning because
it has no inherent structure; noestablished relationships between
entities.
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Data becomes information when we add
meaning . We add meaning by providing acontext to the data. The context identifiesthe purpose, and circumstance, thatsurround the gathering of data; itremoves ambiguity. We can removeambiguity in a variety of ways:categorizing, calculating, condensing, etc.
Information is helpful because it allows usto answer the who, what, where,
when, and how many questions.
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Good information is:
Accurate - conveys the true situation. Timely - is available in time to make decisions.
Useable - is portrayed in common, easily understood
formats and displays.
Complete - provides all necessary data.
Precise - has the required level of detail.
In short, information helps us decide what to do, nothow to do it. The how requires knowledge.
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Knowledge is the data (facts),
information, and skills acquired throughexperience or education. The hallmark
of knowledge isjudgment: the ability to
make decisions or come to sensibleconclusions. Knowledge comprises not
only the ability to choose the
appropriate course of action, but alsothe skills to execute it.
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Knowledge is the data (facts),
information, and skills acquired throughexperience or education. The hallmark
of knowledge isjudgment: the ability to
make decisions or come to sensibleconclusions. Knowledge comprises not
only the ability to choose the
appropriate course of action, but alsothe skills to execute it.
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Data, Information, and Knowledge
Data: Unorganized and unprocessed facts;
static; a set of discrete facts about events
Information: Aggregation of data that makesdecision making easier
Knowledge is derived from information in the
same way information is derived from data; it is
a persons range of information
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The relationships between data, information, and knowledge
Valuable information
from the human mind:
includes reflection,
synthesis, context
Hard to captureelectronically
Hard to structure
Often tacit
Hard to transferHighly personal to
the source
Data with relevance
and purpose:
Requires unit of
analysis
Needs consensus onmeaning
Human mediation
necessary
Often garbled in
transmission
Simple observations
of the world:
Easily captured
Easily structured
Easily transferred
Compact,
quantifiable
InformationKnowledgeData
Valuable information
from the human mind:
includes reflection,
synthesis, context
Hard to captureelectronically
Hard to structure
Often tacit
Hard to transferHighly personal to
the source
Data with relevance
and purpose:
Requires unit of
analysis
Needs consensus onmeaning
Human mediation
necessary
Often garbled in
transmission
Simple observations
of the world:
Easily captured
Easily structured
Easily transferred
Compact,
quantifiable
InformationKnowledgeData
More human contribution
Greater value 8
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Relationship between data,
information and Knowledge
InformationData
Zero Low Medium High Very High
Value
Knowledge
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Difference between Data, Information & Knowledge
Definition Example
Datais basically just raw facts and
figures. No single piece of datacan be
useful by itself, as it does not provide
good business information.
The number 37 is data.
Informationis datawhich has been
processed and has now got some
meaning behind it.
37% of people eat junk food
every day.
Knowledgeis an understanding of the
informationwhich has been given.
Those 37% of people lead a
very unhealthy lifestyle which
could lead to bad problems.
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WISDOM WISDOM
Knowledge Knowledge
Information Information
DATA DATA
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Relating Data, Information, and
Knowledge to Events
Knowledge
InformationData InformationSystem
Decision
Events
Use of
information
Knowledge
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Purposes of Data, Information & Knowledge
WHY use Data, Information and
Knowledge?
WHEN use them?
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Purposes of Data, Information & Knowledge
Planning (resources, possibilities)
Monitoring & Controlling (activities implementation)
Recording Transactions (Documentation)
Performance Measurement (costs, revenues,
volumes, time scales & profitability)
Decision Making
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Any Questions!1 16
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Group Activity:
Provide 3 Examples of Differences
between Data, Information and Knowledge
in each group.
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