In my context, whatever I aim to do in any task's, I must need to understand what is required. Take for example, to build a website, this requires thoughts on: what is the website based on? what is the style? what colours to match? the theme and tone? how will the layout be arranged? All of these is what constitutes to KM for web design perspective: that is how to make a decision based on these different area's. From my understanding of KM, there are different angles to obtain the philosophy truth. It is about making or producing actionable results which has been nourishly constructed by the human mind.
Word's misuse.
- Data
It has been said that there can be misuse between 'data' and 'information' which I agree. First instance for me, I see it both the same. But having studied and looking it from an organization point of view, it is not! Data on it's own means raw figure's to me, but I see no form of conveying message. As a result of this I cannot make structured decision. Data at all time will exist but have no significant meaning if not applied to subject area.
Second example I see for data would be in the first week of lecture workshop: an organization was formed, 6 members merged where we did not know one another - we were one individual.
- Information
Information to me means establishment of clarity for purpose which has been transformed from data. The extracted data has been transformed to be organised to enable something being told. Referring back to the above web design example, in order for me to derive to a decision, this would of utilised information so that I could make justifiable reason's.
Again, linking into the second example above, the 6 individual's communicated with each other where we retrieved and extracted a summary of data amongst ourselves. This has now given an understanding and new point of view which can be used as a resource. From this I have learnt information is seeking which helps one to shape their view ~ presenting the finds.
Also what applies through experience is having information at the right time at the right place! An example of recent information I can give of this is a pharmaceutial manufacturer have discontinued a drug: 'procaine 2% injection' which in current work place: the hospital uses as local anaesthetic on patient's (BMA, 2005) . I think I had a slight 2 day delay in recieving this information, but the sooner I knew, the more time I could act on and liaise with appropriate designated staff members. Based on this information, the validity of it had to be verified but also because this drug was no longer going to be available, this meant having to discuss the alternatives which could used as replacement.
Last example of KID all merged together would be the london underground. Think of each station's stops shown in right diagram top
table (the same context applies with bus stop's) - this to me is data because it is unstructured with no meaning but just word's. But by merging these all together to formalise a diagram help's to generate information as one can see with the handy London Underground tube map. Looking at the tube map, this is now stored knowledge in my mind because I can visualise where each stop's are and which side of London it is located.
table (the same context applies with bus stop's) - this to me is data because it is unstructured with no meaning but just word's. But by merging these all together to formalise a diagram help's to generate information as one can see with the handy London Underground tube map. Looking at the tube map, this is now stored knowledge in my mind because I can visualise where each stop's are and which side of London it is located.
Thoughts ~ In reality, human mind can see two sense's.
References:
BMA. (2005). The BMA Concise Guide to Medicines and Drugs. 2nd Ed. Dorling Kindersley Publishers Ltd, London.
Orna, E. (2004). Information Strategy in Practice. Gower Publishing Ltd, Hants.
The Global Arts Group. (2009). M.C Escher - Relatively. [Online]. Available: http://www.globalgallery.com/enlarge/015-20783/ [2009, 29/01/2009].
Transport for London. Maps. [Online]. Available: http://www.tfl.gov.uk/gettingaround/1106.aspx [2009, 29/01/2009].
thanks for your comment manchi.. i will defently add about structured concept in my reasoning..
ReplyDeletethe way that u defined and explained abt data, knowledge,information and km is amazing.especially the word philosophy truth about KM is really good
ReplyDeleteInteresting examples, it seems that you have wealth of 'knowledge' from your experience. I wished you related this to the work of some other scholars ..
ReplyDeletePlenty of room to improve? Read on
Aboubakr
Hi Man-Chie, I particularly liked your map and underground example.I have constructed some
ReplyDeleteviews on data ,info and knowledge . From your post "This to me" represents the key phrase in my opinion,suggesting that to someone else that same table could represent information or knowledge.
I like your ideas… because you think outside the box….
ReplyDeleteI want to share another example with you… from an organisation context… using your theme of the London underground….
Transport for London (TfL) – Oyster Card
Data – captured by receiving applications from users that wish to register their oyster cards and when the user uses their oyster cards on buses, tube & trains.
Information – TfL uses the data that is stored on a database; to generate reports to analyse statistical information for management.
Knowledge – management analysing the report and making a decision that will impact the organisation. For example: peck hour users from 0630-0930 have increased from last year, therefore more buses or tubes are needed… and so fourth…
This example is not exhaustive… just a thought…
Let me know what you think on in your comment section….?
I like this application towards the same organisation, you too are thinking outside the box. Your perspective from another angle. It is very short and punchy but not related to scholars? ;p
ReplyDeleteNow you have me drawn another 20 degree angle [this angle axis can continue] of thinking... (that is your knowledge + mine)
..Relating back to the my first example, it was for individual basis. But turning it from to tfl .. fares and tickets.. there are many different types such as the prices of each zone.. on their own it is data.
When customers begin to purchase -these different tickets begins to collate information... on which tube stations have the most purchase's and also what type of tickets are being purchased. Then at the point of touch in / touch out....
.. helps to know which stations are the most busiest... and at what times, therefore for planning tfl will know where they will need more staff, how many barriers will need to be activated to cater for the flow of passengers. (such as Oxford Circus/ Euston/ Kings Cross) as opposed to Greenford.
They can then see which stations are feasible or not feasible to stay open - take for example random station: Bow Road - passengers use Bow Road more instead of Bow Church because there is no difference except they are next to each other.
Therefore what is the point of tfl having to run a station if no one uses it. This is money going down the drain...?
[Please excuse mine for not incorporating a scholar here, - I have to dash off to work now :p ]
:)
route map really made me to confuse in the starting,at that time it was data to me.but now it means some information to me.
ReplyDelete