Research On Problems And Countermeasures Of Qinhuangdao Government Statistics Under The Background Of Big Data

With the rapid development of the information society in the 21 st century,the "three new economy" has emerged one after another,and it is increasingly difficult for government statistics.In particular,in the face of the wave of big data,all countries and regions have entered the information age to varying degrees,and the production,collection,application,and distribution of basic data for government statistics are undergoing tremendous changes.At the same time,the time delay,accuracy deviation and credibility decline all make the government statistics fall into an unprecedented predicament,which has become an important frontier issue in the current public Management research.The introduction of the concept of big data and research methods to improve the government statistics,with the concept of big data to achieve the accuracy of public data collection,scientific will also produce important research value for the public management discipline.This article combs the new public management theory,the government function theory and other public management related documents,using literature research,field research,comparative analysis and case analysis methods,the current situation of the Qinhuangdao municipal government statistics under the background of large data.Including the government statistical work dynamic process of each link to carry out in-depth analysis and research.This paper also analyzes the current problems in Qinhuangdao government statistics from the point of view of the impact of big data on government statistics,and refers to the experience of introducing big data methods into government statistics at home and abroad for platform construction.This paper puts forward some suggestions on how to improve Qinhuangdao government's statistical work under the background of big data,such as changing the service concept at source,accelerating the application development of big data platform,improving the supporting ability of government statistics,and changing the statistical analysis method.