For any project initiation, it is essential to have a well-defined process in place to ensure the launch meets expectations. When using Growth Analysis (DataFinder), the overall launch process is as follows:

1. Understand and become familiar with the entire data application chain.
2. Take a holistic approach to avoid issues with event tracking.
3. Initiate the data collection project process.

The following sections provide a detailed introduction to the main tasks at each stage.

Designing a data collection plan is an important part of data infrastructure, directly affecting the quality of subsequent data applications and data retrospection. In daily practice, we often encounter the following issues:

• Missing key event tracking information: As a new employee, faced with hundreds of events in the environment or property names like afsdfgfhtr with no labels, it is easy to feel lost. Documentation left by predecessors is vague or incomplete, and asking experienced colleagues yields inconsistent answers...
• Insufficient event tracking discovered during use: As an operations specialist, after completing the event planning and the activity page, it is finally time to shine and analyze the data feedback from different user groups in detail. Suddenly, you realize that many property details are missing, making it impossible to segment the data. All right, there is nothing more to do...
• Inconsistent event tracking standards: As a product specialist, after launching a new version, you want to analyze the data changes in detail. Internal monologue: Fortunately, the event tracking requirements were raised earlier, unlike the operations specialist above who has no data to check. A few minutes later... Wait, why is this data so different from the backend business data...
• Event tracking waste: After some time, some historical event tracking points are never queried, resulting in an increasing number of unused events in the environment.

To avoid some event tracking issues, we need to adopt a more holistic approach:

1. Data requirements planning
   • How to organize requirements documentation: How to Sort out Requirements
2. Data collection solution design
   • How to design an event tracking plan: How to Design Event Tracking and Data Collecting
3. Tracking implementation
   Data integration: DataFinder Data Access Overview
4. Tracking testing
   • Real-time tracking detection: Event Tracking Real-Time Verification
   • Data validation: General Event Tracking Verification Operation Guide
5. Production environment launch
   If you are using a privately deployed product, please start your data-driven journey after acceptance.
6. Basic configuration
   For details, see the basic configuration documentation: Administrator Operation Overview
7. Product promotion and usage
   Product feature usage documentation is available at: Product Usage Restrictions - Private Deployment