A method and a device for data analysis

Abstract

The invention discloses a method and a device for data analysis, and relates to the field of computer information processing. The method comprises the following steps: determining a plurality of characteristic behaviors; Obtaining related data of a specified commodity; Determining the occurrence time of each feature behavior in the plurality of feature behaviors through the related data; Sorting the plurality of characteristic behaviors according to the occurrence time; And carrying out data analysis on the characteristic behaviors according to the sequence. According to the method and the device for data analysis, underlying business process links and system logic reasons generated by stockout can be traced back, so that the aim of improving inventory for a long time is fulfilled fundamentally, and a solution for solving the problems of high reliability and high expansibility of a real business scene is provided by combining a big data technology.

Description

technical field [0001] The present invention relates to the field of computer information processing, in particular to a method and device for data analysis. Background technique [0002] In recent years, with the upgrading of inventory management from extensive management to long-term refined operation management, out of stock, as an important indicator to measure the health of inventory, is faced with the participation of multiple business parties, multiple links are interlocking, and the process is complicated. question. If you only rely on manpower to locate inventory problems, not only the workload is heavy, the reliability is low, and it cannot be expanded, it also hinders the development of digital automation of inventory management. How to formulate a scientific and effective method for analyzing the reasons for out-of-stocks that can be realized by a set of procedures to help trace the underlying business process links and system logic problems, so as to help inven...

AI Technical Summary

Problems solved by technology

The logic of liability determination is complicated, it is very difficult to understand, and the logic is difficult to be self-consistent

And the logic of determining responsibility is unreasonable

When multiple business activities jointly lead to out-of-stock, who should be mainly responsible depends on the fixed order of responsibility, that is, there must be a potential priority order of responsibility among various business activities. However, in a real business environment, each business activity Should be treated equally, this logic of responsibility does not match the real situation

At the same time, the scalability of the determination logic is poor

When the business changes, or adding new business behaviors may lead to a final out-of-stock, then the main line logic needs to be changed, the amount of code changes will be very large, and the system maintenance cost will be very high

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