Design And Implementation Of Housing Fund Big Data Audit System

In the process of strengthening the centralized and unified management,risk audit and supervision of housing provident fund,the Chinese government needs to solve the heterogeneity of provident fund information in terms of region,management system and data model,and needs to deal with the big data characteristics of provident fund data size.In order to improve the management efficiency of local audit departments and reduce the supervision cost,it is necessary to research and develop the big data audit system of provident fund,consolidate audit resources,integrate unified data,establish the big data analysis model in response to the supervision requirements,and improve the risk control ability.Based on the background of data center,this thesis unifies the target source data,and solves the problem of heterogeneous data integration,including the collection,cleaning and conversion of heterogeneous data,and uses the data query technology,statistical analysis,and correlation problem analysis to support the management of the housing fund with the features of big data.Finally,based on the business logic relationship,association rules,laws and regulations,a lot of data analysis models verified by the practice were summarized and constructed,the normative and standard method system was formed,the real-time analysis and early warning function was made full of,and the efficiency of the audit of the housing fund was improved effectively.The main contents of this thesis are as follows:1.Analysis of system requirements: comprehensively analyze the business process and audit requirements with regard to provident fund,focus on the analysis of business requirements,data requirements,model requirements and performance requirements of auditors.2.System design: this thesis focuses on the design of data acquisition module,analyzes and designs the provident fund audit model by using cases.Combined with the requirement analysis,the system is divided into application layer,support layer and data layer;SOA architecture,Java language development and J2 EE platform architecture are used.3.Big data processing and analysis: realize the collection,cleaning and conversion of massive multi-source data,complete the implementation of big data transmission and processing,show the system prototype,complete the optimization of big data query,strengthen the supervision before and in the process,and greatly improve the efficiency of housing provident fund audit.