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User data analysis big screen

1. Software Introduction:
This software is a user behavior data analysis platform designed for enterprises and market researchers. It mainly solves the problem of how to effectively collect, analyze and understand user data in the era of big data, so as to better meet user needs, improve product service quality and market competitiveness. The software mainly serves enterprises and market researchers who need to conduct in-depth analysis of user data to help them extract valuable information from massive data and provide support for decision-making.

2. Main modules:
1. User profile: Display key data such as total users, new users and active users to help understand the basic situation of users.
2. User behavior analysis: Analyze behavioral data such as user visit duration, visit frequency and user preferences to reveal user behavior patterns.
3. User retention and attrition: Analyze user retention and attrition rates to understand user loyalty and reasons for attrition.
4. User portrait: Draw user portrait according to age, gender, region and other attributes to deeply understand user characteristics.
5. Data search and filtering: Support search by time period and filter by user attributes, easy to quickly find the target data.
6. Data export: Data can be exported to CSV, Excel and other common formats for further processing and analysis.
7. Data update: Support real-time data update and historical data query comparison, to ensure the timeliness and integrity of data.

3. Functional brain map:
1. User Profile
1.1 Total number of users
1.2 Display of Adding Users
1.3 Display of active users

2. User behavior analysis
2.1 User Access Duration Analysis
2.2 User Access Frequency Analysis
2.3 User preference analysis

3. User retention and loss
3.1 User retention analysis
3.2 User churn rate analysis

4. User portrait
4.1 Age distribution display
4.2 Gender ratio display
4.3 Geographical distribution display

5. Data search and filtering
5.1 Search by Time range
5.2 Filtering by user attributes is supported

6. Export data
6.1 Data can be exported to CSV and Excel formats

7. Data update
7.1 Real-time Data Update
7.2 Query and comparison of historical data

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