Data interference elimination method and related device

Abstract

The embodiment of the invention provides a data interference elimination method and a related device. Herein, the first acquisition index difference information and second acquisition index difference information are respectively acquired, wherein the first acquisition index difference information represents difference information of the first user data set and the second user data set when the test strategy is not configured, and the second acquisition index difference information represents the difference information of the first user data set and the second user data set when the test strategy is configured; furthermore, the difference information between the second acquisition index difference information and the first acquisition index difference information is calculated, so that the difference information eliminates data interference caused by the fact that the non-homogeneous data difference existing between the first user acquisition index and the second user acquisition index cannot be ensured when the test strategy is not configured. Thus, the difference value information is used as a test measurement parameter, and the accuracy of data analysis is improved.

Description

technical field [0001] The present invention relates to the field of data analysis, in particular to a data interference elimination method and a related device. Background technique [0002] For Internet-related software products, in order to be able to more accurately analyze the usage of product functions and user behavior, in order to optimize the product. Statistical analysis of data during product operation is often required. [0003] In the prior art, in order to realize data analysis, data collection and analysis are often performed by setting different experimental data groups. Usually, when data analysis is performed based on different groups, data collection is usually performed based on different test stages and different experimental strategies. For example, in a certain stage, the test strategy is not issued to different groups of terminals. The purpose of this stage is to collect the data of each terminal under the premise that the terminals of different gro...

AI Technical Summary

Problems solved by technology

[0004] However, in the above-mentioned analysis based on different data groups, in the homogeneous stage, it is often not possible to truly eliminate the data differences between different groups

As a result, data differences in the homogeneous stage are also brought into the subsequent data analysis process, thereby reducing the accuracy of the analysis results

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