Research On Retention Of Telecommunication Customers Based On Large Data

Into the 21 st century,as long as the telecommunication market opening-up step by step,China's telecommunication market has made rapid development.On the other hand,the competition among the telecommunication companies has become increasingly intense and complicated.In order to compete for customers and increase their profits,telecommunication companies take variety tools to promote new business and new packages,which in turn leads to an increase in operating costs and customer instability.The loss of customers has gradually become the main reason for the benefit of telecommunication companies and endanger the healthy development of telecommunication companies seriously in many aspects.The retention of customers has become the top priority of telecommunication companies.Facing the situation that customers have low satisfaction and high complaints of telecommunication companies,it is necessary to find out the root reason of customer complaints and the real demands in order to reduce customer off-grid phenomenon by the way that advance guard and case control to avoid and reduce complaints.This article mainly aims at the frequent occurrence of customers losing phenomenon in telecommunication companies,carrying out the research and implementation of web crawling strategy based on the domestic mainstream media Finally analysis and research on the data published by users on the SINA BLOG based on big data,put forward feasible measures.The main research work and content of this thesis are as follows:1.After learning of web crawler technology and large data technology,using the Python language on the Linux platform,SINA BLOG as the research object to research and implement the crawling strategy,crawling the relevant data issued by the users on SINA Blog.2.In order to analysis and research of the data,understand the real demands and the root causes of the customers,set up a HADOOP distributed system test environment to storage the relevant data crawled by network crawler.Then,comparing and analyzing the advantages of Spark platform and HADOOP platform in many aspects,build and deploy the parallel computing framework Spark,relying on large data technology to deal with the data crawled by network crawler,which is convenientto analyze the data.3.The data processed and analyzed by the Spark platform are stored in MONGODB,using the Matplotlib drawing library of Python takes dimensional visual graph analysis with the data.Based on the analysis results,putting forward the feasible countermeasures of the retention of the customers in multiple areas for the telecommunication companies.This thesis mainly analyzes the retention of telecommunication customers based on large data technology and network crawler strategy,putting forward the countermeasures and suggestions.At the end of this thesis,the new technology prospect of the research content is given.