Data exception attribution analysis method and apparatus

A technology of abnormal data and analysis method, applied in the field of data processing, can solve the problems of inability to carry out effective data monitoring, inconsistent fluctuation rules of transaction volume, difficulty in manually customizing rules, etc., so as to facilitate automatic and accurate monitoring, increase dependence, and improve data Monitoring the effect of efficiency

Active Publication Date: 2018-10-12
KOU KOU XIANG CHUAN BEIJING NETWORK TECH CO LTD
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Problems solved by technology

[0005] For the monitoring and analysis of data indicators, there are a lot of needs in all walks of life. The traditional way is to organize these indicators into tables or visualize them as curves, histograms or pie charts, etc., and manually view and analyze them; or monitor with simple statistical indicators Mainly, the judgment of abnormal data is relatively simple and depends on subjective experience
[0006] There are several problems here: first, some companies have a large number of business indicators (such as word of mouth), relying on analysts to observe and analyze one by one, the efficiency is very low, and it is easy to cause omissions due to negligence; Judgment mainly depends on personal experience, which leads to different judgment standards for data abnormalities by different analysts, which will eventually lead to different analysis results; third, when a certain data indicator is abnormal, such as the order conversion rate of an e-commerce website drops abnormally, When the cause is very direct and obvious, it may be easier to draw a conclusion by relying on the analyst's observation and ana

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  • Data exception attribution analysis method and apparatus
  • Data exception attribution analysis method and apparatus
  • Data exception attribution analysis method and apparatus

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[0082] Hereinafter, exemplary embodiments of the present disclosure will be described in more detail with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure, and to fully convey the scope of the present disclosure to those skilled in the art.

[0083] figure 1 It shows a schematic flow chart of a data abnormality attribution analysis method according to an embodiment of the present invention. Such as figure 1 As shown, the method includes the following steps:

[0084] Step S100: Obtain the first data of the indicator to be monitored.

[0085] Among them, the indicators to be monitored refer to the indicators that need to be monitored. For different a...

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Abstract

The invention discloses a data exception attribution analysis method and apparatus. The method comprises the steps of obtaining first data of a to-be-monitored index; calculating an exception probability of data exception of the first data by utilizing a preset data model; if the exception probability is greater than or equal to a preset threshold, obtaining attribution index data; and based on the attribution index data, performing attribution analysis calculation by utilizing a preset attribution algorithm, and sending an attribution analysis result to a processing end. The manpower cost ofa company or an enterprise for data exception monitoring can be greatly reduced; the accuracy can be improved; and the method has very high universality. In addition, the dependency on business experience is greatly reduced; by quantizing the exception degree, a large amount of indexes can be automatically and accurately monitored, so that the data monitoring efficiency is improved, and the workload of analysis personnel is reduced; and by sending the attribution analysis result to the processing end, the processing end can perform fault removal, so that the fault removal efficiency is improved.

Description

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Claims

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Application Information

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Owner KOU KOU XIANG CHUAN BEIJING NETWORK TECH CO LTD
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