Improvement Research Of Statistical Data Production And Statistical Workflow

The fine management is a refinement of social division of labor, and the inevitablerequirement of the fine quality of service to the modern management, a kind ofprocess to strategy and target decomposition refinement and implementation, sincethe last century50’s, after decades of practice and development,it has been widelyapplied in the global scope, fine management mode has become one of the mostadvanced and effective management of the modern enterprises, it is an important wayto enhance the overall execution ability of the enterprises. With the ever-changing ofthe market demand, Statistics department of the original production of statistical dataand work flow can not follow the rapid economic and social development and thecommunity demands for statistical information, statistical data and the current modeof production and workflow systems also exist survey dispersion, method ofinvestigation obsolete,data processing software is not uniform, and many other issues.Based on the fine management of research, combined with the actual situation of thecurrent statistics department to put forward a corresponding improvement measuresand make the implementation plan.This dissertation introduces the background and significance of research to theimprovement of statistical data production and work process, introduces theknowledge management theory, and carries on the summary to the meticulousmanagement of the content, meaning, basic ideas and goals, and the development ofthe fine management analysis. Through the analysis of the mode of production and theworking process of the current statistical data, find out the existing problems,combined with the advantage, disadvantage analysis method, finding data of currentstatistical departments of production and work flow improvement direction. Based thefine management to establish a high efficient, high quality statistical data productionmethod and the working process as the goal, from the statistical system design,determine the investigation unit, investigation task deployment, data acquisition, dataprocessing, data audit acceptance summary from several aspects such as optimizationresearch, formulate the implementation scheme of statistical data production and workprocess improvement, and compared the before and after implementation of each link,the implementation of the evaluation of project.