Data processing method and device

Abstract

The embodiment of the invention provides a data processing method and device, and the method comprises the steps: carrying out the sampling of index data of a to-be-audited project index in a target project according to a preset sampling interval, and generating first time series data corresponding to the to-be-audited project index, and according to the first time sequence data and a project event of the target project in a target time interval, predicting index data corresponding to the to-be-audited project index in the target time interval, and according to a prediction result, determining audit information corresponding to the to-be-audited project index in the target time interval.

Description

technical field [0001] The embodiments of this specification relate to the field of computer technology, and in particular to a data processing method. One or more embodiments of this specification also relate to a data processing apparatus, a computing device, and a computer-readable storage medium. Background technique [0002] With the development of Internet technology, all kinds of services have launched online services one after another. Although the online mode is more convenient to serve users, in order to obtain a large sales market, more merchants or shops, individual merchants or Stores will choose to carry out online services alone, or offline services alone, or both online and offline services, so as to attract more users. [0003] However, with the increase of such phenomena, sales scenarios have become more complicated. When providing services to users, some merchants or stores need to conduct compliance self-examination to determine whether their business sc...

AI Technical Summary

Problems solved by technology

[0003] However, with the increase of such phenomena, sales scenarios have become more complicated. When providing services to users, some merchants or stores need to conduct compliance self-examination to determine whether their business scope or business model meets the specified compliance conditions. , with the continuous emergence of new technologies, traditional regulatory compliance methods are difficult to cope with the rapid development of various industries

At present, it mainly relies on the experience of regulatory compliance professionals to analyze and judge the compliance of projects. Not only is the efficiency low, but the requirements for personnel with regulatory compliance industry experience are also high, and information acquisition is lagging behind, and the authenticity of information is difficult to verify. etc. are inefficient, which has caused great obstacles to the timeliness and effectiveness of supervision, so an effective method is urgently needed to solve such problems

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