The Function Analysis And System Design On Big Data In Customer Marketing

With the development of science and technology and the popularity of digital life space,especially the rapid development of Internet,data has penetrated to every industry,and presents the explosive growth.Big data and cloud computing,the emergence of new concept,are leading a new round of the Internet.In the field of marketing,\ "big data\" is changing the modern enterprise management concept and marketing mode,with the help of the platform more big data collection,and analysis and forecasting ability of big data technology,enterprises can make more accurate and effective marketing,in order to gain a higher return on investment.Enterprise how to utilize the existing information resources,building which has the function of decision support system architecture,and using big data technology to realize the modern marketing mode,to provide customers with personalized and humanized service,has become a focus in the study of the industry.This topic through to the big data technology and the characteristics of large data to the marketing opportunity brought by theoretical research,and take advantage of the enterprise marketing big data,USES the association rules algorithm of data mining technology to analyze customer behavior characteristics and consumption habits,study designed a electronic commerce recommendation system based on data mining.Specific work content including:(1)this paper discusses the related concepts of big data precision marketing and the general process of data mining.Analysis of the data mining technology in the application value of e-commerce recommendation system.(2)in the existing e-commerce system,there is a rich and complex customer data and marketing data,through the analysis of the connection between the data,establishes a ER model,and on this basis,the design of the data warehouse model.(3)considering the characteristics of e-commerce and a variety of electronic commerce recommendation technology,choose the association rules algorithm in data mining,online recommendation method based on association rules is proposed.(4)the Analysis of main association rules algorithm,using Microsoft SQL Server 2012 Analysis of multidimensional model tool Services is designed and implemented the data mining software module,and through the experimental Analysis to explore the application of the algorithm in the electronic commerce system,show that this algorithm has certain practical value in the electronic commerce recommendation.This topic in data mining application in e-commerce recommendation system made some exploration,as the electronic commerce recommendation provides a new solution,precision marketing for the enterprise in the field of electronic commerce have provided the certain basis,in the marketing products,marketing,marketing channels,marketing concept helps to improve enterprise's core competitiveness.