Statistical Reports
The Statistical Reports feature provides multi-dimensional data analysis to help understand business operations.
Feature Overview
Statistical Reports includes the following features:
- Service Statistics: Transaction data statistics by service dimension
- Success Rate Statistics: Analysis of order success rates and conversion rates
- Card Statistics: Virtual card usage statistics
Main Features
Service Statistics (ServiceStatistic)
Path: Record → ServiceStatistic
Transaction data statistics by service type.
Statistical Dimensions:
- Service ID
- Merchant
- Time Range
Statistical Metrics:
| Metric | Description |
|---|---|
| Total Orders | Total number of orders for the service |
| Successful Orders | Number of successfully completed orders |
| Failed Orders | Number of failed orders |
| In-Progress Orders | Number of orders not yet completed |
| Successful Amount | Total amount of successful orders |
| Success Rate | Successful Orders / Total Orders |
| Average Amount | Successful Amount / Successful Orders |
Use Cases:
- Analyze business volume for each service
- Compare performance across services
- Identify problematic services
[!TIP] Success rate and average amount can help quickly identify abnormal services and allow timely strategy adjustments.
Success Rate Statistics (SuccessStatistic)
Path: Record → SuccessStatistic
Detailed analysis of order success rates.
Statistical Dimensions:
- Merchant
- Service
- Channel
- Time Granularity (by hour / by day)
Detailed Metrics:
- Deposit success rate
- Payout success rate
- Time period distribution
- Channel comparison
Chart Display:
- Trend Chart: Success rate changes over time
- Comparison Chart: Success rate comparison across merchants/services
- Distribution Chart: Amount distribution of successful/failed orders
Search Card Statistics (SearchCard / SuccessStatisticSearchCard)
Path: Record → SearchCard
Statistical analysis for virtual card scenarios.
Statistical Content:
- Card usage frequency
- Successful transaction count
- Failure reason analysis
- Card balance changes
Statistical Time Range
Quick Selection
The system provides commonly used time range shortcuts:
- Today
- Yesterday
- Last 7 Days
- Last 30 Days
- This Month
- Last Month
Custom Range
You can also manually select start and end dates.
[!NOTE] Querying large historical data ranges may be slow. It is recommended to narrow the range as needed.
Data Analysis Examples
Example 1: Service Performance Analysis
Scenario: Analyze the performance of each service this month
Steps:
- Go to the Service Statistics page
- Select time range: This Month
- View success rates and transaction volumes for each service
Analysis Points:
- Services with success rates below 90% need attention
- A sudden drop in transaction volume may indicate channel issues
- Abnormal average amounts may be a limit configuration issue
Example 2: Channel Success Rate Comparison
Scenario: Compare the performance of the same service across different channels
Steps:
- Go to Success Rate Statistics
- Select a specific service
- View success rates grouped by channel
Analysis Points:
- Channels with large success rate differences may have issues
- Evaluate comprehensively combined with order volume
- Consider adjusting channel weights
Example 3: Time Period Analysis
Scenario: Analyze order success rates across different time periods
Steps:
- Select hourly statistics
- View the 24-hour success rate distribution
Findings:
- Identify peak periods
- Discover low success rate periods
- Optimize resource allocation
Common Statistical Scenarios
1. Daily Operations Monitoring
Daily Check Items:
- Yesterday's total transaction volume
- Yesterday's success rate
- Abnormal services or channels
- Failure reason distribution
2. Monthly Performance Report
Monthly Statistics:
- Total transaction volume and amount
- Month-over-month growth rate
- Service proportion breakdown
- Merchant rankings
3. Issue Troubleshooting
When issues are detected:
- Locate the time period when the issue occurred
- Narrow down by service/channel
- Review detailed order records
- Analyze failure reasons
4. Business Optimization
Optimization Decision Basis:
- Identify high-value services
- Phase out inefficient channels
- Adjust rate strategies
- Optimize limit configurations
Export and Reports
Data Export
Statistical data can be exported to Excel:
Export Content:
- Summary data
- Detailed records
- Charts (partially supported)
Export Steps:
- Set statistical conditions
- Click the export button
- Select export format
- Download the file
Scheduled Reports
Scheduled automatic report generation can be configured:
- Daily Report
- Weekly Report
- Monthly Report
FAQ
Q: Why do the statistics and order records not match?
A: Possible reasons:
- Statistics have a cache delay; wait a few minutes and re-query
- Time range selection is inconsistent
- Filter conditions are different
Q: What to do when the success rate drops suddenly?
A: Troubleshooting steps:
- Determine if it is an overall drop or specific to certain services/channels
- Review the error reasons for failed orders
- Check channel status and balance
- Contact the upstream channel to confirm if there are issues
Q: How to compare data between two time periods?
A:
- Query the two time periods separately
- Export the data to Excel
- Use Excel for comparison calculations
Q: How often are statistics updated?
A:
- Real-time statistics: Updated every minute
- Aggregated statistics: Updated every hour
- Historical data: Updated daily at midnight
Data Accuracy
Statistical Rules
Orders included in statistics:
- Completed orders (Success / Failed)
- Calculated by completion time
Not included in statistics:
- In-progress orders
- Closed orders (in some statistics)
[!IMPORTANT] Statistical data is based on order completion time, not creation time. Therefore, orders created today but completed tomorrow will be counted in tomorrow's statistics.
Related Pages
- Order Records - View order details
- Merchant Management - Merchant information
- Channel Management - Channel status