Accurate Management of Public Services Based on Big Data

Abstract

With the support of national policies, information technology and resource aggregation are increasing day by day. Large-scale data mining is a large scientific and practical area of "digital gold". This is not only a challenge of the times, but also requires vigorous development of public services. Therefore, this paper was driven by big data to analyze the current situation of public services, and then used the fuzzy evaluation method to analyze the precise management. Finally, the public service management was optimized, and the realization path of the accurate management of the whole process of public service driven by big data was designed. Through fuzzy comprehensive evaluation, it was known that the model value and information entropy of public services were constantly increasing; the average value of the model value of precise management of public services was about 4.35, and the average value of information entropy was about 0.98. Moreover, the management efficiency and comprehensive efficiency of precision management of social public welfare activities based on big data were better than that of traditional precision management of public services; the management benefits were 7% higher than the traditional ones, and the overall efficiency was 9% higher than the traditional ones.

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