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DataWind

Product Introduction

Application Scenarios

1. Abnormal data change monitoring and analysis

Business pain points
- Business data anomalies are discovered after the fact, resulting in low business efficiency
- Difficulty in attributing data anomalies, making it hard to find data-driven conclusions for business analysis
Target achievement
- Abnormal data changes are instantly synchronized via SMS or office tools, enabling "data finds people"
- Built-in algorithms enable one-click attribution of abnormal data, providing effective business conclusions

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

Business pain points
- Extensive data sources involving multiple databases
- Large data volumes and slow analysis affect the timeliness of business decision-making
- Complex organizational structure makes data permission management difficult
Target achievement
- Visual integration of data sources enables cross-source data modeling
- Supports hundred-billion-level data, with fast interactive analysis response
- Combining data permissions with resource permissions enables department- and business-specific data permission management

3. Sales metrics monitoring

Business pain points
- Numerous sales regions and hierarchical divisions make report permission allocation difficult
- Key sales data must be manually split across different regions and levels
- Mobile work is common, and data reports cannot quickly adapt to mobile devices, requiring manual adjustment
Target achievement
- Combining data permissions with resource permissions enables highly personalized data displays for each user
- Dashboards automatically adapt to mobile devices, providing an optimal viewing experience
- Daily, weekly, and monthly monitoring reports can be automatically synchronized to email or office tools on a schedule

4. Online data collaboration

5. Refined user management

6. Large data display screens

7. Easy-to-use AI+BI data modeling

Last updated: 2026.06.08 20:31:25