4. Raw facts, figures , numbers, symbols,
letters, and so on
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Data
Example: 23,13,16,24
5. Meaningful, processed and organized data
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Information
Marks of Students. 23,13,16,24
6. Recall or uses information and experiences is
known as knowledge.
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Knowledge
• Marks of Students. 23,13,16,24
Average score is 19 , This shows that the –
• Marks of 2 students are below average.
8. • By asking relevant
questions about ‘who’,
‘what’, ‘when’, ‘where’,
etc., we can derive
valuable ‘information’
from the data
Data
• when we get to the
question of ‘how’, this
is what makes the leap
from information to
‘knowledge’.
Information • when we use the
knowledge and insights
gained from the
information to take
proactive decisions, we
can say that we have
reached the final –
‘wisdom’
Knowledge
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9. Types of Knowledge
Tacit Knowledge
• Unstructured knowledge, difficult to
formalize, in the domain of subjective
cognitive and experiential learning.
Explicit Knowledge
• Structured knowledge, easy to codify, easily
manipulated, shared taught or learned.
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11. Definition
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Knowledge management (KM) is the process
of creating, sharing, using
and managing the knowledge and
information of an organization.
It refers to a multidisciplinary approach to
achieve organizational objectives by making
the best use of knowledge.
14. Knowledge
Creation
Socialisation
Conversion of tacit knowledge to new tacit
knowledge
Externalisation
Converting tacit knowledge to new explicit
knowledge
Internalisation
Creation of new tacit knowledge from
explicit knowledge.
Combination
Creation of new explicit knowledge by
merging existing explicit knowledge.
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15. Knowledge
Sharing
Activity through which ideas,
insights, solutions, experiences
(knowledge) is communicated
to other individuals.
Example: Writing books,
Research papers.
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17. Thanks For Watching.
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Next Topic:
• The Knowledge Management Process.
• Approaches to Knowledge Management
18. About the Channel
This channel helps you to prepare for BSc IT and BSc computer science subjects.
In this channel we will learn Business Intelligence , A.I., Digital Electronics,
Python programming , Core-java, Computer-Graphics , Data-Structure etc.
Which is useful for upcoming university exams.
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