| At present,with online education enterprises developing rapidly,the traditional customer relationship management system has not kept up with the trend of business development,which has restricted the enterprises' development.And enterprises can't effectively use the customer information accumulated to accurately identify high-quality customers.In addition,the large changes in human affairs can easily lead to serious loss of data information,which has a serious impact on the maintenance of customers.To solve these problems,it is necessary to build an enterprise-level marketing service system that can support the sale and service process in the enterprise.The purpose of this paper is to design and implement a data-driven based enterprise marketing service system.The system is mainly based on Django framework and the web interface adopts the REST Framework.Mysql,Redis and Hive are used to adapt the different situation in this system.The author independently completed the research and development of the system that is consisted of prediction service,call center service and main workflow platform service.Prediction service provides the prediction function,which is mainly used to predict customers' order completion rate through modeling.The high-quality customers will be distributed to the salespersons.Call center service mainly provides call service and communication management service.It makes the communication more efficient.Main workflow platform service provides business workflows in sale process.It's an important model,which is designed to manage the students and the related information.After the implement of this project,the order completion rate has raised about 20%,which is beneficial to the sale amount.It provides enterprises with a comprehensive and modern market access,which enhances the scientific management level of the enterprise,improves the communication efficiency,and enables the enterprise to accurately identify the high-quality customers to develop better. |
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