Data Mining Applications In The Securities Industry

With the breaking of the monopoly pattern, how do securities companies deal with the fierce market competition? How to nurture the company's core competence? There is only one method: being market-oriented and customer-focused, customer segmentation and actively cultivating customer loyalty actively. Customer Relationship Management system (CRM) is the product of modern management science and information technology. This paper is going to study and discuss comprehensively and deeply on the application of the theory of data mining technology in the securities industry. Based on previous research, this project will analyse the company's securities transaction data in order to find meaningful models to support the development of the securities business and improve the new algorithm. To use data mining techniques to study the objectives, content and structure of customer management in securities companies and the definition of data mining methods , to analyze the typical application of data raining to resolve the main problems. To analyze the application of data mining in customer management, and the data mining process, customer management in data mining and typical application of data mining in customer management. Taking the securities company as the example, according to the two aspects from data mining's customer segmentation as well as data mining's customer loyalty, the paper carries on the analysis of its client management using the data mining technology, and points out what should pay attention to in the data mining.