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.
Information technology and resource grouping are developing rapidly thanks to governmental policies. Large-scale data mining is a hugely practical and scientific zone of “digital gold”. This is not only a modern-day problem, but it also necessitates the rapid growth of service of publics. As a result, the benefits of information can be fully realized, service efficiency improved, and the service gap closed. Cloud computing has gained popularity due to its quick accounting, limited memory requirements, and efficient resource distribution. As a result, big data was employed to analyze the existing state of cloud-based service of publics in this paper, and the fuzzy evaluation process was used to analyze the accurate monitoring. Eventually, service of public organization was improved, and the path to the accurate organization of the entire service of public process initiated by big data was developed. The design value and data entropy of cloud-based services of public were growing exponentially, according to fuzzy comprehensive assessment; the value of average of the design value of accurate organization of cloud-based government services was around 4.35, and the average importance of data entropy was around 0.98. Furthermore, the organization control and detailed efficiency of big data-driven precision organization of social public social welfare outperformed traditional precision monitoring of cloud-based service of publics; suggesting that the effects were 7% higher, and overall capacity was 9% higher than the compared techniques.
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