Case Study Of Government Audit Based On Big Data

Recently,with the exponential growth of data volume,the Big Data Audit has been paid more and more attention.Although domestic and foreign scholars have conducted various innovative researches on big data and related audit work,they are still in the groping stage.Compared with the external audit,the government audit is more active in the acquisition of data,the government audit department has the right to apply for all kinds of data from relevant departments and enterprises.Therefore,at this stage,the research based on government audit has strong operability.With the development of innovation-driven strategy,related audit work is necessary.But at present,there is no unified paradigm about academia or practice.Taking the innovation-driven development strategy of G province as an example,this paper starts with introducing the relevant content of the policies of the innovation-driven development strategy.Then this paper emphatically sorts out the relevant policies on the cultivation of new and high technologies,enterprise r & d subsidies and recognition of new and high technologies.We guide the audit work on the basis of policy,and explore new ideas and new methods.Because the number of the audited companies is numerous,the traditional auditing models don't work well,we use the Big Data Audit,and we use web crawler technology,digital fuzzy matching technology,digital visualization technology and enterprise image technology.This article focuses on audit objective,audit method,audit contents,audit basic situation.After the study,we found four deficiencies in the existing audit process and put forward four suggestions.