Design And Implementation Of Big Data Analysis System For Automobile Industry

With the economic development of China,the automobile industry is also booming,and the major automakers are increasingly investing in advertising.After in-depth research on the International automobile marketing,we found that the traditional 4A advertising company conduct business consulting through offline questionnaire.Investigating,interviewing,etc.That’s an inefficient investment with highi input and low output,laborious,time-consuming and costly.In order to quickly understand the market demands,gain brand power and brand image in the market,obtain conpetitive pricing information and preferential strategies,likewise provide real-time marketing data for automobile enterprises.Traditional business consulting methods are becoming less and less suitable for the current demands.The research and development of big data analysis system in the automobile industry breaks the traditional business model of car companies,providing real-time marketing data,brand image and user portraits for automobile enterprises.The current platform covers three modules:market analysis,product analysis and audience analysis.The analysis module includes four functions of sales analysis,competition analysis,price and promotion.Therefor the system could rapid feedback on grasps the market vohlume change,market possession performance,competition situation and its changes,the price trend of this competing product and price monitoring in different regions.The product analysis module consist of three functions:product evaluation,product image,and the cause of purchase abandonment.To attain authentic feedback of users rational score,perceptual evaluation,satisfaction point,and compla:int point of the product,locate the model image of the user’s mind,and restore the reasons for deciding to buy or abandon in the purchase scene.The audience analysis module includes two functions of user portrait and mobile catalyst,which could efficiently obtain basic image information and geographic analysis of the audience,meanwhile in-depth understanding users habits in the application software to facilitate marketing.First of all,this paper expounds the background and significance of the project,and finds that applying big data analysis to automotive marketing is an area that has not been studied in depth.Secondly,it introduces various computer science and software engineering technolbgies mainly used in the system implementation process,including Spark SQL,natural language processing,Spring MVC,Mybatis and so on.Once again,the author collects and analyzes the demand of the car enterprise,analyzes the demand of the system,and divides the system into three modules:market,product and audience.Finally,according to the requirements document,the overall architecture of the system is designed,and detailed design and database design are carried out at the same time.After thecoding is implemented,the system is tested for functional and performance.Currently,the system is delivered to users through comprehensive testing and delivery.It has effectively solved the need for companies to obtain marketing data in real time and accurately.