Study On Statistical Data Quality Management In J County

The quality of government statistical data not only affects the authority and credibility of the authorities,but also directly affects the objectivity,authenticity and accuracy of government decisions to a large extent.It also plays an important role in the evaluation and measurement of social and economic situation by enterprises and institutions.At present,under the new normal economic development,the statistical data collection methods have been greatly reformed under the requirements of the National Bureau of Statistics,and the government’s requirements for statistical work have risen to a higher level than before.In this context,the government statistical work has begun to carry out significant changes in accordance with the trend of The Times.This paper takes the quality management of statistical data in J County as the research object,first of all,it carefully analyzes the current development of government data quality in China,and deeply analyzes the significance of improving the quality of government statistical data.Research literature,and then use the case analysis method to analyze and summarize the reasons for the errors in the company’s statistical data by using the law enforcement inspection case publicity materials in J County,and understand the problems existing in the management of government statistical data,and propose feasible solutions.Finally,using the method of on-the-spot investigation,the staff of the J County Statistics Bureau,the township statistical station and the person in charge of the enterprise statistics use the method of combining interviews and questionnaires to grasp the actual situation of their usual work,and find out the actual situation in the statistical work.Causes and solutions to these problems are studied.Combined with the above process,the problems existing in the management of government statistical data and the reasons for the formation of the problems are finally explored,and targeted and feasible solutions are put forward.The article strives to provide some theoretical and practical support for the control of the quality of government statistical data.