Research On Optimizing The Quality Of Grassroots Statistical Data

In many fields of government work,the quality evaluation of grassroots statistical data is the core work of statistics,and it is an indispensable and important component of basic statistical work.As the department with the closest connection to the original data,grassroots statistical institutions are both the main collectors of basic data and the source of impact on quality.These data have a significant impact on the country’s economic growth and people’s living standards.Only by mastering these basic data can we provide a basis for the government to formulate reasonable policies,better promote social and economic development,and improve people’s quality of life.However,if there are errors in grassroots statistical data,it is extremely easy to cause policy formulation errors,affecting the normal development of the national economy,and in severe cases,it may also cause damage to the rights and interests of the people.Therefore,continuously promoting and improving the quality of grassroots statistical data has important practical significance.After entering the 21st century,the role of statistical work as a barometer in social and economic development has become more apparent,and it is even more important to attach importance to the quality of statistical data.In the increasingly complex and difficult economic environment,governments,enterprises,and the public have put forward increasingly high requirements for the quality of statistical data.At the same time,various industries are also paying more and more attention to the quality of statistical data.I hope to use statistical data to better predict the economic development trend and make the next step plans as soon as possible.Therefore,how to better ensure the authenticity,accuracy,and timeliness of grassroots statistical data quality has become a topic that governments at all levels need to seriously consider.Starting from literature research,this article analyzes the current quality of grassroots statistical data in County B through methods such as interviews and case analysis,while understanding the current research status at home and abroad.After in-depth research and analysis,we found that the quality of grass-roots statistical data has problems,mainly including low data accuracy,insufficient data integrity,weak data comparability,poor data timeliness,and unstable data economy.This article believes that the fundamental reasons for the problems in the quality of grassroots statistical data are the lack of attention to grassroots statistical work,incomplete statistical systems,the lack of a big data thinking model,poor talent resources,and inadequate laws and regulations in grassroots statistical work.After referring to the optimization of grassroots statistical data practices by local governments,under the guidance of comprehensive quality management theory and new public management theory,this paper explores how to improve the quality of grassroots statistical data and take corresponding measures,such as strengthening responsibility awareness,establishing scientific statistical indicators,fully utilizing big data,building a professional talent team,and strengthening law enforcement construction.The research content of this article has special pertinence and universal adaptability.It is hoped that through case studies,it will provide useful references for research in related fields.