In the process of daily business operation, the operating system will produce a large amount of data, which can be effectively used in decision-making systems and can produce great value-added benefits. With the maturity of network technology and database technology, the global traditional commerce is undergoing major changes, and it is advancing at full speed to e-commerce.
This trend of e-commerce not only provides customers with convenient trading methods and a wide range of choices, but also provides businesses with the possibility of knowing more about customer demand information and shopping behavior characteristics.
With the deepening of customer-centered business philosophy, analyzing customers, understanding customers and guiding customers' needs have become an important topic in enterprise management.
As one of the important application technologies of e-commerce, data mining technology will provide strong support and reliable guarantee for correct business decisions. By analyzing the transaction data collected by e-commerce system,
Customers can be classified according to various customer indicators, and then the behavior patterns of different types of customers can be determined, so that corresponding marketing measures can be taken to maximize the profits of enterprises.
First of all, data mining can effectively acquire customers. For example, through data mining, we can find out whether the consumers who buy some western products are men or women, and what their educational background, income, hobbies, occupations and so on are.
And we can find out which characteristics of customers are easy to lose, so that the measures to retain customers will be targeted, the cost of retaining customers will be reduced, and completely different services can be provided for different types of customers to improve customer satisfaction.