The Design And Implementation Of Business Analysis System For Trina Solar Based On Big Data

Trina Solar's summary data currently relies on the IT department to export and manually integrate various indicator data,which not only wastes a lot of manpower and material resources,but also is more prone to errors.More importantly,in the process of processing existing data,the timeliness is relatively lacking.In the face of rapidly changing production and supply and high-growth financial data,the value of the original maintenance information that lags behind time will not guarantee higher efficiency.Therefore,Trina Solar decided to design and implement Trina Solar's business analysis system based on big data.In the big data analysis technology architecture,the data replenishment system database,business system,and component real-time data can enter the data integration layer.After reaching the real-time stream processing layer and the distributed data warehouse layer,it can perform data and operation management layer operations by calling the data service layer and the business application layer.In the business analysis system,the overall data flow includes business operation data and Internet data.The data acquisition layer provides structural data synchronization,data synchronization,and IoT(The Internet of Things)extraction tools.The IoT API(Application Programming Interface)interface requires targeted development The technical architecture adopted by the business analysis system in the software demonstration is the Spring Boot framework+MyBatis framework+ECharts composition form.The system is designed and implemented for financial data management,production and supply data management,job scheduling management,large screen data,mobile data,and big data portal permissions.Financial personnel in financial data management are mainly responsible for financial statements and business analysis operations,while financial managers can perform financial statements and management operations.Production,supply and marketing data management mainly carries out policy and industrial chain price maintenance.The job scheduling management is responsible for maintaining the scheduling monitoring,planning configuration,core warning,and running number confirmation,and is operated by the scheduling administrator.Large-screen data management is used by analysts to analyze group overviews,value group overviews(cumulative),value group overviews(quarters),component real-time sales,and global component inventory.Mobile data management mainly provides operations such as financial data analysis,upstream overview data analysis,and mobile large-screen data analysis.In the big data portal authority management,the system administrator can perform user,organization post authority,custom post authority,temporary post authority management,and basic data configuration operations.Through the construction of the system,the company's data can be displayed,and the business data can be statistically analyzed,integrated,analyzed,and the company's sales status can be displayed in time,which brings supportive data to the company's decision management and promote the company's better development.