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List of the contents of this article:

• 1, Data Burial Point Four Part - Buried Point Management System Design
• 2、 How to bury the APP data?
• 3, Data buried point five: buried point information management system
• 4, What does "know how to bury data points and take data" mean?
• 5, How to do a good job in the demand analysis of buried points

Data Buried Point Quartet - Buried Point Management System Design

Based on the analysis of the whole business process and life cycle of buried points, Then the planning of the buried point management system is shown in the figure below. The buried point management system mainly includes 5 large modules, and the system managementThe module is for the account and permission management of the user of the buried system, depending on the situation of the enterprise.

Buried point is a system project, which is a process of continuous optimization and business increase. Let's first take a look at the buried point data reporting link diagram: the most primitive buried point management method is to record the coding, naming, business meaning and other necessary information of the buried point with documents or tables, and share them within the buried point business party. .

In general, the process specification will be divided into five steps, namely requirement review, buried point application, technical development, buried point verification, and launch. The first step is demand review.

The role of buried points. Routine basic statistics. Every statistic needs to be sent, which can be understood as public statistics. This part of the statistics includes almost all the parts needed for statistics.Come in and encapsulate it into a unified part. Every time the statistics are sent, these contents will be included, which is convenient for management and saves subsequent burial time.

APP data burying is a commonly used data acquisition technology that can help developers understand users' behavioral preferences and usage habits, thereby optimizing product design and improving user experience. The following are the general steps for APP data burial points: Determine the data that needs to be collected: Before the data burial point, it is necessary to clarify what data needs to be collected.

How to bury the APP data?

1. The following steps are required to make buried points with divine strategy analysis: Install divine strategy analysis: Install divine strategy analysis on the server in order to carry out data burial points in the future. Create event burial points: Create event burial points in divine strategy analysis, specify event type, event time, event parameters, etc.

2. First of all, you need to access the Youmeng, initialize the configuration, and then divide it into click event burial points and browsing time burial points.

3. Next, I will introduce how to deploy the Shence data burial point. Register a Shence Data account, register an account on the official website of Shence Data, and create a new project in the background.When creating a project, you need to fill in the project name, website domain name, industry classification and other information.

4. Prop use statistics Prop use statistics in the game is also an important method of burying points. It can record data such as the number of times, methods and effects of players use props, so as to understand which props are more popular and which props need to be adjusted.

5. Developers only need to call the corresponding interface under a specific scenario to achieve data acquisition and upload without writing the collection and upload code by themselves.

Data Buried Point Five: Buried Point Information Management System

Buried Point is a system engineering, which is the process of continuous optimization and business increase. Let's take a look at the buried point data report first.Link diagram: The most primitive method of buried point management is to record the coding, naming, business meaning and other necessary information of the buried point with documents or tables, and share them within the buried point business party.

Edit the buried point: The person in charge of the product can edit and modify the buried point information. This functional permission can be configured and set according to the user's role to do a good job in demand management and avoid arbitrary modification of demand, resulting in loopholes in demand management.

The behavior data is not 100% accurate. Collecting user behavior will also cause loss and omission. It is not recommended here to take important statistical caliber to the buried point logic, such as payment. The problem of missing caliber will make people crazy, and the relevant statistics still rely on the calculation of the payment interface. Only the analysis of the buried points related to payment can be done.

Register a Shence Data account, register an account on the official website of Shence Data, and create a new project in the background.When creating a project, you need to fill in the project name, website domain name, industry classification and other information. Download the code base in the Shence data background, enter the "Code Management" page, select the platform that needs to be deployed and download the code base.

APP data burying is a commonly used data acquisition technology that can help developers understand users' behavioral preferences and usage habits, thereby optimizing product design and improving user experience. The following are the general steps for APP data burial points: Determine the data that needs to be collected: Before the data burial point, it is necessary to clarify what data needs to be collected.

Statistical information will not have a great impact on the analysis one day later. Each statistic needs to be sent, which can be understood as public statistics. This part of the statistics includes almost all the parts needed for statistics.Install it into a unified part, and every time the statistics are sent, these contents will be included, which is convenient for management and saves subsequent time.

What does "know how to bury data points and take data" mean?

The so-called "buried point" is a term in the field of data acquisition (especially in the field of user behavior data collection), which refers to the relevant technology and its implementation process for capturing, processing and sending specific user behaviors or events.

First of all, let's briefly talk about what a data burial point is. Data burying usually refers to a technical means for development engineers to implant relevant codes in the product front-end program based on the needs of business, operations or product managers to obtain data such as user behavior.

Buried points are the basis for data collection for daily improvement and data analysis of websites, APPs and other products. Data analysis is carried out according to the collected user behavior data (e.g. page access path, which button is clicked), so as to push and optimize more reasonably and enhance the user experience.

How to do a good job in the demand analysis of buried points

When doing demand analysis, we should think about the product goals and the framework and actual functions of existing products. The final conclusion drawn must be from the perspective of the product and users, which can produce Practical guiding significance and effective conclusions.

Full buried points is indeed a form of buried points. If the amount of data is not large, full buried points can be considered, but even if it is fully buried points, all the contents need to be sorted out clearly;Unlike full buried points, many companies are still burying points according to demand to reduce computing and storage costs and improve system response speed.

In general, the process specification will be divided into five steps, namely requirement review, buried point application, technical development, buried point verification, and launch. The first step is demand review.

To understand the problem of how to do it, it is still necessary to start by identifying what it is: what is the data burial point? The data burial point allows relevant personnel such as products or operations to customize the statistics of more complex user data according to specific needs.

It must be remembered that data embedding is only a technical means of data statistics and analysis, and not all data statistics must have data burial. For example, web events.

Determine the data that needs to be collected: Before the data is buried, it is necessary to clarify what data needs to be collected.These data should be related to the key indicators of the product and user behavior. Choose the right buried tools: There are many buried tools on the market, and developers can choose suitable buried tools according to their own needs and budget.