Application And Research Of Customer Classification Of Securities Company Based On The Algorithm Of Decision Tree

As information technology continues to evolve,especiallythe emerging Internet technology such as Big Data Processing,Cloud Computing and Mobile Internet is deeply affecting the financial and other industries.Securities industryas an important branchof the financial marketin our country was hit by the emerg ingtechnology more evidently.The securities company services are much richert han before,but the brokerage business is still the main source of income in most securitiescompany.The brokerage business heavily relies on the number of customers and the investment of customers,so customer resources have become the key point for competition among securities company.But m arket resources are limited,when developing new customers,the securities comp anyneed to dig into the stock customers.It's more challenging for customer management and customer analysis.The strong information system is the basis of customer management and customer analysis.With the expansion of the system data,how to effectively use it for analysis has become the focus that every companies put on.Data Mining Technology is the golden key to open the door.The thesis elaborates on Data Mining Technology,uses Clementine as analysis tool,and takes samples of transaction data in the real production system of Minsheng securities company.Customer segmentation is achieved by using Classification and Regression Trees to carry out excavation on the profile Information and transactional information,and it can be used to extract quality customers who the business people of sales department offer the appropriate service to.The thesis analyzes the process of data mining based on customer classification.The result reveals the investment preferences,risk tolerance and asset allocation in different kinds of customers.It can help security companies to make marketing tactics and development strategy accurately,intelligently and efficiently,raise the company whole management level,keep improving sales figures,improves customer loyalty and offers substantial technical support to statistic all kinds of data.The analysis model constructed in the thesis is largely based on the actual work of securities company,so it has strong operational and feasibility.