Customer Relationship Management Systems Based On Data Mining

This text has introduced customer's relation management concept, theory and method systematically, have expounded the fact that the data mining technology implementation method and application in customer's relation management.It is one kind for improving the mechanism of management of the relation between the enterprise and customer that the customer concerns management, its component includes call center , e-commerce , relevant software and data warehouse , its main research contents, in order to attract and keep more customers through offering the fast , thoughtful and high-quality service, through optimizing it by reducing and obtaining the customer and keeping the customer's cost in the face of the customer's workflow, solve how keep frequent customer here and strive for new customer , how to obtain and analysis market and consumption information of customer, solve and offer the problems , such as better products and service ,etc. for market and customer. Implement customer relation management is it set up one intact customer information system to the most important thing is, enterprises must manage customer as managing other assets , make sure to understand the customer as understanding enterprise products, understand the customer's change as understanding that stock changes. So the management core of customer's relation management is to pass " course " correctly, management methods , such as assessment , measuring , controlling of " customer's state " , " customer satisfaction " and " customer's cost " ,etc., devise strategies at the headquarters , is promoting the competitive power in the market of enterprise constantly , support and extend the long-term customer's relation, innovating and excavating new sale and serving the chance constantly , make enterprises realize the lasting growth of income from sales , profit and shareholder's value finally.In recent years , and count the progress of technology with the technology of the database , artificial intelligence technology, a kind of new information treatment technology has appeared -- The data are excavated , its research contents are how to find information and knowledge useful to administrator from a large amount of data, find their inherent regularity from a large amount of data. The course that the data mining includes: The data preparing (The data are integrated, choose, reduce and transform), information and knowledge is it explain and appraise with the mode to excavate. The data mining use the decision tree, the rule is summed up, neural network, hereditary algorithm, coarse to collect, near neighbor technology and visual technology ,etc. method carry on related analysis , array mode analysis , categorized analysis and cluster's analysis to a large amount of data most. The data mining technology there is extensive application in the commercial fields. Especially as to customer's relation management, realize its goal essential two step correspondent to data foundation and use that datum excavated of warehouse just. Data mining technology relation manage application of sure to bring the generous repayment in customer. The application in customer's relation is managed of warehouse technology of data includes: (1) Customer keep, it is it excavate storehouse technology can customer modeling that shift already to count to use, discern that causes the mode that they shift, then can find out similar runagates of the customers at present in order to take the precautionary measures with these modes. (2)Sell and customer service, can receive information of customer, data can utilize to be automatic to customer's recommended products on the basis of the regular software to excavate. (3)Promote, only fully understand the customer, could be confirming the location advertising campaign, improve the responding rate and reduce the activity cost. The integrality and accuracy of customer's data have decided the cost of the advertising campaign. (4)Assess and swindle the inspection in risk, one perfect customer datum warehouse and datum excavate applicatio...