Cloud Simulation Technology Research Based On The Tactical Communication System

The CRM system is an integration of marketing to customers that modern enterprises apply by means of Internet technology and IT technology, which can be great contribution to the enterprises’efficiency in obtaining, maintaining and increasing customers. This system is realized on the premise of’customer centered’ management concept and marketing concept. With the basis of the retaining advantages of CRM system, the e-CRM system relies on the mobile Internet and e-commerce and fulfills the customer’s individualized demands more effectively. While in the implementation process of e-CRM system, data analysis is one of the most important step. With effective data mining, it is possible to extract useful information from the massive customer information and sales data and to lock customers effectively, so as to improve user satisfaction from the enterprise, thus finally to increase the enterprise’s core competitiveness in the market competition.This article mainly aims at the characteristics and problems of e-CRM in the mode of O2O, and constructs the e-CRM architecture. It applies the two data analysis technologies of data warehouse and data mining to study the electronic customer relationship in the 020 mode. It also studies ID3 decision tree algorithm, K-average clustering analysis algorithm and Apriori algorithm to realize the related analysis function of e-CRM system, thus to help enterprises make correct decisions. In this paper, Java technology helps realize the operation system, which enables a log-in interface and functions of staff management, customer management, sales management and data analysis.This paper applies three data mining algorithms to achieve the related analysis functions in the e-CRM system, which can be of great use for enterprises to win advanced chances in the competitive O2O e-commerce market. By mining customer information and sales information and the helpful information being analyzed, enterprises could be guided to make the correct marketing strategy.