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#21
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I am inclined to think that an expression such as a "quanta" can indeed be used in this context, given that knowledge tends to come in "bundles" and a certain subset of knowledge is required in order for any given piece of knowledge to make any sense. But as to the rest of the paper, I have no idea exactly what the point is. |
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However, judging by the responses, I think my advice would be never to fall in love with your theory. |
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At least, define what is meant by the term "organisational intelligence", such that we may begin our deliberations from a less ignorant standpoint. |
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If by organisational intelligence, you are referring to information, then intelligence is the wrong word to use. Intelligence is what you may need in order to make sense of your data. Extraction of "information" from data is of course related to Information Theory (of which there is a great deal of research and, yes, formulae) and Data Mining. |
#22
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Thanks for the feedback. "Robin Tucker" <idontwanttobespammedanymore (AT) reallyidont (DOT) com> wrote in message news:bmej0b$pn5$1$8302bc10 (AT) news (DOT) demon.co.uk... I am inclined to think that an expression such as a "quanta" can indeed be used in this context, given that knowledge tends to come in "bundles" and a certain subset of knowledge is required in order for any given piece of knowledge to make any sense. But as to the rest of the paper, I have no idea exactly what the point is. The point is that technology today stores this knowledge in computer systems by means of three different forms of computer systems software: 1) Operating and network operating system software (eg: Windows XP, Unix, etc) (note: this one can be ignored, for the purposes of OI specific to the organisation) 2) Relational database management system software (eg: Oracle, DB2, SQL Server, etc) This s/w is on the database server. 3) Application system software specific to the organisation (millions of examples). This s/w is generally loaded to the end-user (clients) of the organisation, as well as having components loaded on the server. Because OI is spread across the above 2 computer system software environments (2 and 3) it is not defined in one place. When you examine the manner by which organisations currently utilise database software and application software you will see that the solutions involve massive redundancies of definitions. Examples include where database fields need to be defined in the code of the client application, and the classic, adding a column to a table. My point in all of the above was to try and explain that I have pioneered a mechanism whereby application system components can be constructed out of the native utilities of the RDBMS environment. OI defined under this method need only be defined once. The application software is now within the RDBMS. However, judging by the responses, I think my advice would be never to fall in love with your theory. The theory is sound. I have engineered software to demonstrate it with SQL Server. It may be the terminology used however by which I cannot properly communicate the essence of this matter. Responses however were unnecessarily parochial, lacking in any form of desperation and utterly without any merit, so I had no hesitation in flaming the turkeys. At least, define what is meant by the term "organisational intelligence", such that we may begin our deliberations from a less ignorant standpoint. The article did provide a "working summary definition" of OI as related to computer systems (ie: distinct from people/employees). "Summarily OI may be defined as the sum of the data objects and the source code objects associated with application systems hosted by an organisation" The article went on to examine emergent considerations from this summary. If by organisational intelligence, you are referring to information, then intelligence is the wrong word to use. Intelligence is what you may need in order to make sense of your data. Extraction of "information" from data is of course related to Information Theory (of which there is a great deal of research and, yes, formulae) and Data Mining. Hopefully I have responded to this in a separate thread. Thanks for your considered comments. Pete Brown Falls Creek OZ |
#23
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I still don't see this as useful. Using your definitions - OI indeed exists in many tiers but it does not have to. I don't believe this to be an insight. One can already write business logic into stored procedures rather than some middle tier and many do. |
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You seem to be suggesting the creation of a "middle tier" to abstract the database from the client. Please forgive me but, ugh, this has already been done! |
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If you are suggesting the removal of the middle tier then this has also already been done (it was done before the middle tier was added!). |
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If you are suggesting something totally different, such as the maintenance of "objects" in the database, walking around with their operating methods and properties (an object oriented data model) then, I'm afraid to say, this has also already been done! I fail to see the point of your paper. |
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"mountain man" <hobbit (AT) southern_seaweed (DOT) com.op> wrote in message news:55Sib.150710$bo1.16913 (AT) news-server (DOT) bigpond.net.au... Thanks for the feedback. "Robin Tucker" <idontwanttobespammedanymore (AT) reallyidont (DOT) com> wrote in message news:bmej0b$pn5$1$8302bc10 (AT) news (DOT) demon.co.uk... I am inclined to think that an expression such as a "quanta" can indeed be used in this context, given that knowledge tends to come in "bundles" and a certain subset of knowledge is required in order for any given piece of knowledge to make any sense. But as to the rest of the paper, I have no idea exactly what the point is. The point is that technology today stores this knowledge in computer systems by means of three different forms of computer systems software: 1) Operating and network operating system software (eg: Windows XP, Unix, etc) (note: this one can be ignored, for the purposes of OI specific to the organisation) 2) Relational database management system software (eg: Oracle, DB2, SQL Server, etc) This s/w is on the database server. 3) Application system software specific to the organisation (millions of examples). This s/w is generally loaded to the end-user (clients) of the organisation, as well as having components loaded on the server. Because OI is spread across the above 2 computer system software environments (2 and 3) it is not defined in one place. When you examine the manner by which organisations currently utilise database software and application software you will see that the solutions involve massive redundancies of definitions. Examples include where database fields need to be defined in the code of the client application, and the classic, adding a column to a table. My point in all of the above was to try and explain that I have pioneered a mechanism whereby application system components can be constructed out of the native utilities of the RDBMS environment. OI defined under this method need only be defined once. The application software is now within the RDBMS. However, judging by the responses, I think my advice would be never to fall in love with your theory. The theory is sound. I have engineered software to demonstrate it with SQL Server. It may be the terminology used however by which I cannot properly communicate the essence of this matter. Responses however were unnecessarily parochial, lacking in any form of desperation and utterly without any merit, so I had no hesitation in flaming the turkeys. At least, define what is meant by the term "organisational intelligence", such that we may begin our deliberations from a less ignorant standpoint. The article did provide a "working summary definition" of OI as related to computer systems (ie: distinct from people/employees). "Summarily OI may be defined as the sum of the data objects and the source code objects associated with application systems hosted by an organisation" The article went on to examine emergent considerations from this summary. If by organisational intelligence, you are referring to information, then intelligence is the wrong word to use. Intelligence is what you may need in order to make sense of your data. Extraction of "information" from data is of course related to Information Theory (of which there is a great deal of research and, yes, formulae) and Data Mining. Hopefully I have responded to this in a separate thread. Thanks for your considered comments. Pete Brown Falls Creek OZ |
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