Optimization of Industrial Cluster Management in Urban Development Zones Driven by Big Data

Abstract

This paper analyzes the optimization of industrial cluster management in urban development zones driven by Big Data. This paper introduces model calculation to improve management optimization, analyzes the industrial clusters of urban development zones driven by Big Data through the model, and verifies the driving role of industrial cluster management optimization of urban development zones driven by Big Data with the help of empirical analysis. According to the experimental data, the total assets of target task decomposition increased from 20 to 200, the net assets increased from 13 to 110, and the debt ratio decreased year by year from 2017 to 2020. This paper analyzes the problems existing in the management of Liling Economic Development Zone and investigates the reasons, which are mainly caused by the following reasons: the inaccurate positioning of management functions has scattered the energy of park management and weakened the initiative and enthusiasm of work; affected by the changes of national policies, the work efficiency is reduced and the economic cost is increased; resources and energy have a great impact and are facing transformation and upgrading; the degree of marketization of the park is not high, which is difficult to adapt to the development situation. At the same time, by summarizing the advantages of Big Data, the research on the optimization of industrial cluster management in urban development zones driven by Big Data is realized. Driven by Big Data, the industrial cluster management of urban development zones has strong efficiency in economic promotion. We should actively promote this management optimization method, which can promote the improvement of economic construction level.