Transaction analysis method for growth formula

Abstract

The invention discloses a transaction analysis method for a growth formula. The transaction analysis method comprises the following steps: S1, setting data; S2, calculating and comparing, judging whether the data value in the current timing period slides down, and if yes, returning the data values in the previous timing period and the current timing period to the front end by the rear end; S3, judging the glide degree by the front end, and if the glide degree reaches an alarm threshold value, executing the next step; S4, comparing the factors of the growth formula in the present timing period and the previous timing period by the front end, and if the factors of the growth formula slide down, executing the next step; S5, judging whether the factors of the growth formula have a hierarchical relationship by the front end, if not, obtaining a transaction analysis result, if yes, the front end compares the factors with the hierarchical relationship of the factors of the growth formula in the present timing period and the previous timing period, performing analysis according to the method, and repeating the process until the transaction analysis result is obtained, and obtaining a transaction result, and performing feedback of a result to a manager by the front end. The transaction analysis efficiency is high, and the transaction analysis result is more accurate.

Description

technical field [0001] The invention belongs to the technical field of a change analysis method of a growth formula, and in particular relates to a change analysis method of a growth formula. Background technique [0002] There will be some data growth formulas in the enterprise, and managers will evaluate recent performance by paying attention to the data of the growth formula; [0003] The data value of the growth formula will change in some cases. The existing method of discovering the change of the data value of the growth formula is to discover it by the manager himself. If the operator wants to understand the data value of the change in the growth formula, the manager needs to analyze it himself, for example, GMV = number of orders * order amount. If the manager wants to know whether the change in the growth formula is caused by the number of orders or the amount of the order, the change in the growth formula needs to be managed This method requires a lot of manual id...

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Problems solved by technology

[0003] The data value of the growth formula will change in some cases. The existing method of discovering the change of the data value of the growth formula is to discover it by the manager himself. If the operator wants to understand the data value of the change in the growth formula, the manager needs to analyze it himself, for example, GMV = number of orders * order amount. If the manager wants to know whether the change in the growth formula is caused by the number of orders or the amount of the order, the change in the growth formula needs to be managed This method requires a lot of manual identification costs, and the analysis efficiency is low

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