Design And Implementation Of Iron And Steel Enterprise Sales Analysis System Based On Big Data

With the increasing maturity of computer technology,the informatization construction of domestic iron and steel enterprises has developed rapidly.At the same time,companies are accumulating more and more data,and the explosive growth of steel company data contains huge commercial value.However,in the face of massive data of customer consumption behavior,traditional large-scale server-based data warehouses and data analysis technologies cannot meet the application transformation requirements of heterogeneous data source data,and there are serious shortcomings in the multi-dimensional statistical analysis and display of data.Therefore,the use of big data technology to analyze the huge sales data of steel companies and make correct decisions based on that have become an important starting point for companies to seize market opportunities under data-driven services.Considering the characteristics of customer sales data of steel enterprises,this thesis developed a unified,fast response sales analysis system that are designed to improve the reusability of data resources and can display product sales information at a multi-dimensional deep level on the basis of the data of various business systems and product sales data of the steel company.First,with the analysis of the domestic and foreign research of sales analysis system and big data technology,it studied data warehouse technology,OLAP technology,big data related technology and data visualization technology to clarify the design ideas of the system.Second,by investigating the existing business of steel companies to sorted out and integrated the process and characteristics of the company's sales business,the thesis obtained functional requirements and non-functional requirements of the system by combining the target requirements of the system and the requirements of big data applications.Relying on analysis results and the business background of the enterprise,system design goals and principles were further established,the system's business process architecture,system architecture and technical architecture were designed and the design of system data collection,data storage,data processing and data warehouse were studied in detail.Finally,according to the needs and design,this thesis uses SSM framework,Java technology,My SQL database and Hadoop framework and data analysis tools to realize the system real-time and batch data processing,sales data analysis,report and visualization and other functional design.At present,based on big data,the development and testing of the steel enterprise sales analysis system has been completed and the functions of each module have been realized.The system is stable and has good performance,and has reached the expected goal.The system provides strong support for steel companies to realize the digitization of corporate management and significantly improves the efficiency and level of sales management by strengthening the integration of business and finance,the management analysis of the full life cycle of contracts,and the panoramic display of project profits and losses.