Research On The Path To Promote The Supply Of Compulsory Education In The Background Of Big Data

With the development of the economy and the progress of society,citizens have repeatedly put forward higher requirements for the public services provided by the government.The traditional extensive public service supply model can no longer meet the needs,and the personalized and accurate public service supply has become the trend of the times.The arrival of the era of big data has also brought opportunities for the promotion of accurate supply of public services.In the face of massive,dynamic and diverse big data,the traditional way of thinking and behavior of the government will be affected,and turn to big data technology.Accurately identify citizen needs and provide precise public services.The same is true in the field of compulsory education supply.The use of big data technology can realize the inventory management and dynamic monitoring of schools,students,teachers and other related subjects,which is conducive to comprehensive and accurate grasp of the status quo of education supply,accurate object recognition and project precision.Arrangement,precise resource allocation and precise control of the supply process.The ability of Big Data to effectively integrate resources and analyze and predict it provides a strong support for the supply of compulsory education resources,transforming the supply of resources from extensive supply to precise supply.It can be said that big data is not only a massive data state and The corresponding analysis and processing technology is a change of thinking mode,which will definitely bring profound influence to the field of compulsory education supply.It will also cause the government to make changes in the whole public service field,and ultimately bring about the transformation and development of social governance.This paper mainly uses literature analysis method,case analysis method and other research methods,combined with public management and computer and other related subject knowledge,to explore how to use big data to improve the quality,efficiency and level of compulsory education supply,so as to achieve the precision of compulsory education.Supply to meet the individualized and diverse educational needs of citizens.First of all,through the cognition and grasp of the research background,significance and status quo as the starting point of the research,and then the related concepts and theoretical basis as the basis of research.Secondly,it discusses the performance and reasons of the nonprecision in the supply of compulsory education in China,including the inaccuracy of quantity,content and spatial layout.Thirdly,to explore the opportunities brought by big data for the supply of compulsory education,big data can play a major role in demand perception,policy formulation,resource allocation,effect evaluation,etc.,thus improving the status quo of compulsory education supply and promoting accurate supply.Then,it briefly introduces the application examples of big data in the field of compulsory education supply,and analyzes the problems that big data needs to pay attention to in the field of compulsory education supply.Finally,the paper considers and summarizes the full text,and proposes the realization path of improving the supply level of compulsory education resources under the background of big data,which mainly includes accurate capture of requirements,crossdepartmental coordination,precise allocation of resources,and precise control of the supply process.