Knowledge discovery process is conceivable assuming the whole process in knowledge discovery and including the information activity of the whole enterprise such as knowledge discovery and data mining, and knowledge creation.
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○ Input system
The diffusion of the information devices advances and many data accumulation exist in the inside a company. However, these data are not being accumulated with an evident intention and be being accumulated "incidentally" and at all it is not few data that is disappearing without being used at all. The input system such as POS and receive and order system become the source of those data accumulation, but these are recognized only as the tool of the rationalization of a business in America. However the effective utilization of such data is drawing attention in recent years, and come in relation to system architecture as the input system of data. Also, a data warehouse turns up as the accumulation, control technology of such data. A data warehouse is 'the point' of information system architecture in the 1990's, and managed and housed the data unitarily that was collected from inside and outside a company to support the decision making mainly of an enterprise manager and also end user. The database of the inside and outside a company is constructed from such a thing.
○ Database Architecture…The data that was accumulated with business systems such as input system will be accumulated into the computer as some database system. Because most of the database are being constructed for cooperation business processing, so it is difficult for it to correspond flexibly to the various demand which appear from the analysis process such as an information system. Also, before constructing database, every necessary data must be designed previously, and the data and attribute etc. needed for the analysis, have lacked with this stage often. From now on, the effective database architecture is requested that corresponds to such analysis.
○Data Mining…Minning is coming from the etymology that strike a vein. The data mining is the process that strike a certain useful rule and rule nature (a vein) out of voluminous data exactly. A new useful rule has not been generated so easily. Rather, it almost ends in a failure like a gold vein. However, the one that is obtained from here has the possibility that gives the useful suggestion to future business. Especially, the knowledge of a client base is conceivable to bring an important contribution to Internet business in future. There are results of many researchers such as an association rule and decision tree etc., however there is very few applied examples and the accumulation of the skill is requested for the field.
○Knowledge Creation…The knowledge that was discovered by the data mining above does not collaborate to a profit directly. It is collaborate to a profit for the first time when it is combined to a business system. Needless to say, to change conventional system design etc. largely is being included for that and the need of the flexible system construction is requested. A knowledge creation means the re-integration of the knowledge of inside a company such as business reform, development of system, and development of knowledge base etc. The knowledge base is need to the creation of a new business system in these information.
○The creation of a business system…Many business like Internet business etc., are producing the system that is not the thing of temporary but bring forth a profit continually. A new business system needs a new knowledge base. The knowledge base is the bunch of a skill and know-how and integrate them and hold the organization ability that is able to change to the worth of a client, will be connected to the competition dominant position of an enterprise.
1. production control…Many data are accumulated in production process. Rule discovery etc. for the quality improvement and rationalization are conceivable out of those.
2. Operation of business management…Receive and order business etc., from day to day are bringing forth many data. Extracting important data out of those data and urge a business improvement.
3. Client control…Various data regarding clients such as the complaint processing centers and purchase data of a client etc., are being accumulated inside a company. I discover future promising knowledge from those.
These are one of the examples of the application range and the application to the various range are possible. However, the application to actual is en route for a development and there are many subjects such as development of actual equipped technology. The risk of these huge investment is fairly high at the present condition. Attention is need for a blind information strategy that might bring an important crisis in the future of an enterprise under the name of the investment to the future. However, the discovery of client knowledge even in this as for the discovery of purchase data etc., the prospect is very high, and many researchers admit the importance. Especially, in Internet business, it is conceivable that these importance show big rising. →the customer profiling! !
About customer profiling…Customer profiling is the coined word that is made from the profiling (Ressler and Shachtman, 1992) that are one of the investigation technique that FBI uses. The profiling is the method that recognizes a criminal by evaluating the motive and action pattern from the psychological aspect of the criminal. A investigator make up the criminal character (the profile) and the motive of crime, by collecting the information regard to the event as long as possible and comparing the data of the event in the crime record in the past.
Customer profiling can define as the strategic use of those knowledge to achieve competition dominant position and gathering of beneficial knowledge that is based on the detailed analysis of the purchase data of an individual client and. The fundamental thought of this concept is to pay attention each client purchase action and accumulate all the purchase record of the clients without summarize for future detailed analysis. A maker and retail store can understand the purchase action and selection preference of a client by the detailed data of an individual client, that is to say, they can offer the satisfying product and service to each client. We present a customer profiling as the use of client knowledge that was based on information technology, to get a competition dominant position.