The importance of CRM system data mining work does not need to carry out too much explanation, CRM management system data mining function is mainly used for the specified analysis tasks, which can be divided into two kinds: data description and data prediction, description of the task is mainly to reflect the ordinary data characteristics, while the prediction of the task requires a variety of current information mining, analysis, inference, prediction.

Classification of data is a CRM customer relationship management system in the process of data mining is very important part of the current e-commerce enterprises in the most used, the classification of the purpose of the establishment of the data model, the role of the model is to make a clear distinction between these data, different kinds of data with different analytical roles, for example, the customer's age, occupation, hobbies, etc., are all part of the data classification model.

In addition to classification there is clustering, CRM system clustering work according to the different types of data, unified division, it is one of the three major methods of multivariate data analysis, mainly corresponds to the analysis of geometric high-density data, the application is also very wide, the next process is the correlation analysis, from a large number of data that have been analyzed to look for the connection between different types of data, this is the The next process is correlation analysis, from a large amount of analyzed data to find the connection between different types of data, which is a relatively simple and practical rule in the data mining process.

CRM system conceptualization, the database are some of the more important customer and business information data, can be a comprehensive description of certain types of data, from different perspectives to assess customer needs, and then summed up in favor of the sales business information results for strategic reference.

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