{"data":{"list":[{"id":"885333","string_id":"zJeBZdZb","name":"Sensors Analysis","type":"1","status":"1","slug":"zJeBZdZb","parent_id":"0","add_time":"1785825073","update_time":"1785828227","icon":"","desc":"","child":[{"id":"885334","string_id":"rdcqfa6H","name":"Beginner's Guide","type":"1","status":"1","slug":"rdcqfa6H","parent_id":"885333","add_time":"1785825074","update_time":"1785828228","icon":"","desc":"\n

Welcome to Sensors Analytics.<\/p>

In this chapter, we provide beginners with a quick introductory guide to Sensors Analytics.<\/p>

Follow us to learn more about Sensors Analytics and gain a deeper understanding of its significance for enterprises in achieving data-driven operations.<\/p>

<\/p>

What is Sensors Analytics?<\/a><\/div>

What can Sensors Analytics do?<\/a><\/div>

How does Sensors Analytics solve problems?<\/a><\/div>

Data sources for Sensors Analytics<\/a><\/div><\/div>

<\/p><\/div><\/div><\/div><\/body><\/html>","child":[{"id":"885335","string_id":"UKeR3Fvx","name":"What is Sensors Analytics?","type":"2","status":"1","slug":"UKeR3Fvx","parent_id":"885334","add_time":"1785825075","update_time":"1785828228","icon":"","desc":"","child":[]},{"id":"885336","string_id":"0ZunmSux","name":"What can Sensors Analytics do?","type":"2","status":"1","slug":"0ZunmSux","parent_id":"885334","add_time":"1785825078","update_time":"1785828228","icon":"","desc":"","child":[]},{"id":"885337","string_id":"UowzOrfG","name":"How does Sensors Analytics solve problems?","type":"2","status":"1","slug":"UowzOrfG","parent_id":"885334","add_time":"1785825081","update_time":"1785828229","icon":"","desc":"","child":[]},{"id":"885338","string_id":"Kw4qXExT","name":"Data sources for Sensors Analytics","type":"2","status":"1","slug":"Kw4qXExT","parent_id":"885334","add_time":"1785825084","update_time":"1785828229","icon":"","desc":"","child":[]}]},{"id":"885339","string_id":"SaGr8GPt","name":"Quick access","type":"1","status":"1","slug":"SaGr8GPt","parent_id":"885333","add_time":"1785825086","update_time":"1785828229","icon":"","desc":"\n

Quick Access Guide<\/span><\/h2>
Welcome to Sensors Analytics! This guide is designed to help you quickly and easily integrate the system yourself. Whether you are a business user requesting event tracking or a developer responsible for code-based event tracking, it is recommended that you follow the steps in this guide from the beginning when you first encounter Sensors Analytics.<\/p>
The entire guide covers the entire integration process, and the key points are as follows:<\/p>
Step 1: Preparations before integration<\/a> (Read by all)<\/span><\/h3>
This section helps you understand some basic concepts related to the Sensors Analytics system. These concepts are fundamental to data access and subsequent use of Sensors Analytics, and a clear understanding is essential.<\/p>
Step 2: How to accurately identify users<\/a> (Read by all)<\/span><\/h3>
To analyze user behavior, the first step is to understand \"who\" the user is. Only by selecting appropriate user identifiers can users be accurately identified. This section requires understanding concepts such as user identifiers and user associations, and also needs to output a \"user association scheme\".<\/p>
Step 3: Data Acquisition Plan Design<\/a> (For the Client to Read)<\/span><\/h3>
This step is completed by the requester, typically a product manager or data analyst from the business line. The goal of this step is to define the data collection targets based on the business's analytical needs and output a documentation document for event tracking; this is also known as \"event design.\"<\/p>
Step 4: SDK Data Collection<\/a> (Essential Reading for Developers)<\/span><\/h3>
This step is to be completed by the developers. Technical staff need to complete the code tracking work according to the documentation provided by the client, and it is also recommended to conduct data self-testing at the same time.<\/p>
Step 5: Basic Data Verification<\/a> (Required Reading for Testers)<\/span><\/h3>
This step is to be completed by testers; if no testers are available, it is recommended that data analysts complete it first. After the data is collected and sent to the Sensors Data platform, it must be checked and ensured that the data collection is error-free before the project can be officially launched.<\/p>
At the beginning of each step, we have set the goals or tasks for that step. Please execute and complete them as required to ensure smooth data access. If you encounter any problems during the operation, please contact the relevant customer service representative for assistance.<\/p>

<\/p><\/div><\/div><\/div><\/body><\/html>","child":[{"id":"885340","string_id":"xjwmpBOr","name":"Preparation before access","type":"2","status":"1","slug":"access_prepare","parent_id":"885339","add_time":"1785825088","update_time":"1785839669","icon":"","desc":"","child":[]},{"id":"885341","string_id":"jotvSuaE","name":"How to correctly identify users","type":"2","status":"1","slug":"access_identity_users","parent_id":"885339","add_time":"1785825091","update_time":"1785828230","icon":"","desc":"","child":[]},{"id":"885342","string_id":"FaJcyIhX","name":"Data Acquisition Scheme Design","type":"2","status":"1","slug":"FaJcyIhX","parent_id":"885339","add_time":"1785825092","update_time":"1785828231","icon":"","desc":"","child":[]},{"id":"885343","string_id":"PSHw6TnF","name":"Basic data verification","type":"2","status":"1","slug":"access_verification","parent_id":"885339","add_time":"1785825094","update_time":"1785828231","icon":"","desc":"","child":[]}]},{"id":"885344","string_id":"SktxhuFA","name":"Product User Guide","type":"1","status":"1","slug":"SktxhuFA","parent_id":"885333","add_time":"1785825097","update_time":"1785828231","icon":"","desc":"\n
Usage process<\/span><\/h3>
When using it, we recommend the following usage practices:<\/p>
1. Preparation stage:<\/span><\/h4>
<\/span><\/p>
With our technical support, we completed the process of identifying data analysis needs;<\/li>
Based on the requirements, complete the initial classification of behavioral events and design key user profiles;<\/li>
Complete the system installation for Sensors Analytics.<\/li><\/ul>
2. Trial Phase:<\/span><\/h4>
<\/span><\/p>

<\/p>
Export a batch of historical data from an existing database or historical logs, according to the data format<\/a> we specify;<\/li>
Use a batch import tool to import historical data into the system;<\/li>
Based on the imported data, use the product to complete some data analysis tasks;<\/li>
Modify the event model or add corresponding attributes based on requirements and usage;<\/li>
After iterations, once the requirements are met, the final event model is confirmed.<\/li><\/ul>
3. Online usage phase:<\/span><\/h4>
<\/span><\/p>
Clear trial environment data;<\/li>
Logs can be fed in in real time via LogAgent, or data can be fed in in real time using the various clients or backend SDKs we provide;<\/li>
Based on specific business needs, various abstract data analysis models are used to generate the core metrics of interest. These core metrics can be saved as bookmarks and added to the data overview for display.<\/li>
When there are business scenarios that require specific analysis, such as a sudden drop in conversion rate and the desire to analyze which channel is causing the problem, or the desire to analyze the specific circumstances of users who were lost during conversion, then the corresponding specific functions can be used.<\/li><\/ul>

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