Method and system for realizing data tracking through software development kit

Abstract

The invention relates to a method and a system for realizing data tracking through a software development kit. The method comprises the steps of allocating an identifier to an element in a webpage or an application through the software development kit to enable the identifier to locate the element in the webpage or the application; and when the element is triggered, sending the identifier corresponding to the element to a cloud server, thereby enabling the cloud server to obtain the triggered element according to the received identifier. According to the method and the system for realizing data tracking through the software development kit, provided by the invention, artificial data burying points can be avoided, the data tracking efficiency can be greatly improved, a large amount of time of engineers is freed, and manpower resource costs are reduced. In addition, data definition is automatically managed, so that automatic and efficient data management and version control are realized.

Description

technical field [0001] The present invention relates to the field of data processing, in particular to a method and system for realizing data tracking through a software development kit (English: Software Development Kit, abbreviation: SDK). Background technique [0002] SDK is a development tool for establishing application software for specific software packages, software frameworks, hardware platforms, operating systems, etc., and is generally only used to provide application programming interfaces (English: Application Programming Interface, abbreviation: API) for programming languages. In the current technical solution for data tracking of web pages or APP users through the SDK, engineers are usually required to manually bury points, specifically including: the engineer installs the SDK, and then calls the API provided by the SDK for each data that needs to be tracked, and manually enters the project Code, that is, buried point. For example, when it is necessary to tra...

AI Technical Summary

Problems solved by technology

[0003] It can be seen that the existing solutions need to consume a lot of time for engineers to input codes at various positions when implementing data tracking, making the efficiency of data tracking extremely low and causing a lot of waste of human resources

Moreover, in the case of rapid product development and iteration, a large number of data definitions need to be revised in time, which more seriously leads to low work efficiency and waste of human resources, and it is difficult to guarantee the timeliness of data, which is prone to errors

In addition, although data tracking is implemented by engineers, the definition and requirements of data often come from business departments, such as marketing, sales, strategy, products, etc., and the existing data tracking method separates business definition and engineering implementation, making different departments The cost of communication between them is greatly increased, which is not conducive to improving work efficiency

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