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Intelligent Data Insight

Product Introduction

Application Scenarios

1. Abnormal data monitoring and analysis

Business pain points
- Discovering abnormal business data only after the fact leads to low business efficiency
- It is difficult to attribute data anomalies, making it hard to find data-driven conclusions for business analysis
Goal achievement
- Abnormal data changes are instantly synchronized via SMS or office tools, enabling "data finds people"
- Built-in algorithms enable one-click anomaly attribution, providing effective business conclusions

2. Building an enterprise-level high-performance BI analytics platform

Business pain points
- Data sources are diverse and involve many databases
- Large data volume and slow analysis affect the timeliness of business decision-making
- Complex organizational structure makes data permission management difficult
Goal achievement
- Connect data sources visually to enable cross-source data modeling
- Supports hundreds of billions of data records, enabling fast interactive analysis
- Combine data permissions with resource permissions to achieve department- and business-specific data access control

3. Sales metrics monitoring

Business pain points
- Multiple sales regions and hierarchical divisions make data report permission allocation difficult
- Key sales data must be manually split across different regions and levels
- With widespread mobile work, data reports cannot quickly adapt to mobile devices and require manual adjustment
Goal achievement
- Combine data permissions with resource permissions to achieve personalized data presentation for each user
- Dashboards automatically adapt to mobile devices, providing excellent display results
- Monitoring daily, weekly, and monthly reports can be automatically synchronized to email or office tools on a schedule

4. Online collaborative data operations

5. Refined user operations

6. Large-screen data dashboards

7. Easy-access AI+BI data modeling

Last updated: 2026.06.11 17:26:27