Thursday 29 January 2009

Difference between Data,Information and Knowledge


Data
: It is collection of raw facts and figures. It may be represented in the form of binary numbers

For Example: If we consider a number 9, it can be represented in binary form as 1001
It means that 1001 is the data that has been recorded as 9.

Information : Frame work of facts or data. The recorded form can be particularly stated as information.

For Example: Consider a usual student who attend classes everyday, the progress report and the attendance report at the annual is the information of the student.

Knowledge :

Expertise, and skills that are acquired by a person through experience or education.

Acquiring knowledge is a complex process which involves reasoning, learning, communication, perception.

These are the global properties of organization (Mark W. McElroy, 2003).

Differed in this way:


The relationship between data information and knowledge could be summarized in my technical field background as follows..

If we consider the Information Technology field(IT) field, Database Management System(DBMS), Data Mining (DM) and Data ware houses(DW).. these are the most commonly used ITs in support of Knowledge Management in any Company. These are dealt in higher hierarchy.

Reason for considering these types instead of Intranets, Ethernets etc., because DBMS, DM, and DW are the ITs currently applied in Knowledge Management abstract are in data level but not in Knowledge level.

The computing languages like UNIX or some others that are used to format the program or used for web design by Hyper Text Transfer Protocol (http) is Data flow for the observer. Where as the content that the user provides in mediating language is the Information for the system. All the pairing representation is Knowledge for the same user. So, in this way Data, Information and Knowledge differs in the views of Observer,
system and the user respectively.

So, Data is always specified in a conceptual context. Information is the one which expresses data in a structured format.


References :

1. Pon elis, S. and Fair-Wessels, 1998 '' Knowledge Management:A Literature Overview'', South Africa Journal of Library Information Science, (pg. 1-10)

2. Hammergren, Tom 1998 '' Data Ware-Housing Internet: Accessing the corporate Knowledge Base'', University of Illinois press, (pg. 114)


11 comments:

  1. Deepak, good definition. I like the 'reasoning' applied to knowledge and agree that knowledge is gained through 'experience'. I would like to also add that knowledge is structured where one can make "decision's" based on this.
    Keep up the good work! :)

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  2. If we consider a number 9, it can be represented in binary form as 1001
    It means that 1001 is the data that has been recorded as 9.
    this is ok for me what if binary system is not known to me.

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  3. The representation of data in Binary is not a good example.

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  4. that means binary information is only data for u.

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  5. ya mate a good defination i agree with it .but prasad do hold a walid point about the binary numbers

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  6. Differentiation has done well..
    good work Deepak..

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  7. The problem with this post is that you are missing an example in organisation context...

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  8. read your posting.. discussions are done good.. better if u make some clarification on citations..

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  9. Deepak... good definitions...

    However you need to do bit more work... to explain this in organisation context....

    For example: Pizza Hut, at the operation level of making a pizza to the strategic level of developing policy from customer’s feedbacks.... you can expand on this.... it’s just start!

    ;-)

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