Research On Tax Source Management Of QZ City Taxation Bureau Under The Background Of Big Dat

With the development of information technology and the arrival of the era of big data,a large amount of tax-related information has been accumulated,and the progress of big data technology and the construction of various data platforms have brought new opportunities for strengthening the management of tax sources.The transformation of tax source management in the context of big data is a comprehensive transformation from thinking concept to management technology.How to seize the effective value behind data and establish a grass-roots tax source management mode in line with the requirements of The Times has become an important topic to be discussed and practiced in the current transformation situation.Combined with the requirements of the current tax system and collection mode,this paper discusses and analyzes the promotion of grassroots tax source management under the background of big data.Firstly,the relevant concepts and theories of big data and tax source management are sorted out,and the current situation and exploration practice of tax source management of Tax Bureau of QZ city are introduced.Secondly,it analyzes the problems existing in tax source management of tax bureau in QZ city under the background of big data,which are mainly manifested as inefficient operation of tax source management,poor data acquisition channels,low data application efficiency,low staff efficiency,etc.Through the investigation and analysis of the problem and find the cause of the problem,to provide ideas for solving the problem.Finally,in view of the problems found,the advanced management experience of other tax bureaus is used for reference,and the suggestions for strengthening the tax source management of QZ Tax Bureau under the background of big data are given,including fundamentally changing the management concept and establishing the tax management thinking of big data.Establish data sharing mechanism to break through data acquisition restriction;Formulate data acquisition standards,unify analysis and application management,and ensure data security;We will improve the personnel management mechanism,train comprehensive big data professional management personnel,and ensure personnel security.