Analytics & Metrics
Tether provides analytics and metrics to help you understand performance, track trends, and make data-driven decisions.
Analytics access may vary by user role. Contact your administrator if you need additional access.
Analytics Overview
What Tether Tracks
| Category | Metrics |
|---|
| Sales | Volume, revenue, trends |
| Inventory | Levels, turns, coverage |
| Forecasting | Accuracy, bias, error |
| Supply Chain | Lead times, fill rates |
Accessing Analytics
Navigate to Analytics → Metrics in the sidebar.
Key Metrics
Sales Metrics
| Metric | Description | Use |
|---|
| Sales Volume | Units sold | Demand tracking |
| Revenue | Sales value | Financial performance |
| Growth Rate | Period-over-period change | Trend analysis |
| Units per Order | Average order size | Customer behavior |
Inventory Metrics
| Metric | Description | Use |
|---|
| Coverage Days | Days of inventory on hand | Stockout risk |
| Inventory Turns | How often inventory cycles | Efficiency |
| Fill Rate | % of demand fulfilled | Service level |
| Stockout Rate | % of time out of stock | Issue tracking |
Forecast Metrics
| Metric | Description | Use |
|---|
| MAPE | Mean Absolute Percentage Error | Forecast accuracy |
| Bias | Systematic over/under forecast | Model tuning |
| Weighted Accuracy | Volume-weighted accuracy | Overall performance |
Using the Metrics Dashboard
Dashboard Layout
| Component | Description |
|---|
| KPI Cards | Key metrics at a glance |
| Trend Charts | Performance over time |
| Comparison Tables | Side-by-side analysis |
| Filters | Narrow by dimension |
Filtering Metrics
Filter to focus on specific data:
| Filter | Options |
|---|
| Date Range | Select time period |
| Channel | Specific sales channels |
| Product | SKU, collection, or category |
| Warehouse | Specific locations |
Viewing Trends
Charts show metrics over time:
- Select metric to display
- Choose time period
- Select grouping (day, week, month)
- Compare to prior period (optional)
Metric Categories in Detail
Forecast Accuracy Metrics
Understanding forecast performance:
MAPE (Mean Absolute Percentage Error)
Measures average forecast error:
| MAPE | Interpretation |
|---|
| < 10% | Excellent |
| 10-20% | Good |
| 20-30% | Fair |
| > 30% | Needs improvement |
Forecast Bias
Shows systematic error direction:
| Bias | Meaning | Action |
|---|
| Positive | Over-forecasting | May have excess inventory |
| Negative | Under-forecasting | Risk of stockouts |
| Near Zero | Balanced | Good model fit |
Weighted MAPE
Weighted by sales volume—larger products count more:
- Better reflects business impact
- High-volume items weighted appropriately
- Use for overall accuracy assessment
Inventory Health Metrics
Coverage Days
Days of inventory remaining at current consumption:
| Coverage | Status |
|---|
| < 7 days | Critical - order urgently |
| 7-14 days | Low - order soon |
| 14-60 days | Healthy |
| > 90 days | Overstock risk |
Inventory Turns
How many times inventory cycles per year:
| Turns | Interpretation |
|---|
| < 2 | Slow moving |
| 2-4 | Average |
| 4-8 | Good |
| > 8 | Fast moving |
Fill Rate
Percentage of demand fulfilled from stock:
| Fill Rate | Service Level |
|---|
| > 98% | Excellent |
| 95-98% | Good |
| 90-95% | Acceptable |
| < 90% | Needs improvement |
Creating Reports
Standard Reports
Access pre-built reports:
- Go to Analytics → Metrics
- Select report type
- Configure filters
- View or export
Custom Views
Create custom metric views:
Select Metrics
Choose which metrics to include
Configure Filters
Set default filters
Arrange Layout
Position metrics as desired
Save View
Save for future use
Exporting Data
Export Options
| Format | Use Case |
|---|
| CSV | Spreadsheet analysis |
| Excel | Detailed reporting |
| PDF | Sharing, printing |
Exporting Metrics
Configure View
Set up the metrics you want
Click Export
Choose export option
Select Format
Choose file format
Metric Calculations
How Metrics Are Calculated
| Metric | Formula | | |
|---|
| MAPE | Average of | Actual - Forecast | / Actual |
| Bias | Average of (Forecast - Actual) / Actual | | |
| Coverage Days | Current Inventory / Daily Consumption | | |
| Turns | Annual Sales / Average Inventory | | |
Time Periods
Metrics can be viewed by:
- Daily
- Weekly
- Monthly
- Quarterly
- Yearly
Aggregation Levels
Roll up or drill down:
- Total business
- By channel
- By product category
- By individual SKU
- By warehouse
Best Practices
Track critical metrics regularly:
- Forecast accuracy weekly
- Inventory health daily
- Sales trends weekly
Establish targets:
- Based on historical performance
- Industry standards
- Business objectives
When metrics deviate:
- Identify root cause
- Take corrective action
- Document learnings
Communicate findings:
- Regular reports to stakeholders
- Alerts for issues
- Celebrate improvements
Metrics and Decision Making
Using Metrics Effectively
| Metric | Decision Support |
|---|
| Low Coverage | Order more inventory |
| High MAPE | Review forecast model |
| Low Fill Rate | Increase safety stock |
| High Turns | Maintain current levels |
| Positive Bias | Adjust forecasts down |
Connecting Metrics to Actions
- Observe - Track metric values
- Analyze - Understand why
- Decide - Choose action
- Act - Implement change
- Measure - Track impact
Troubleshooting
Metrics Not Updating
Possible causes:
- Data sync delay
- Filter excluding data
- Calculation timing
Solutions:
- Wait for scheduled refresh
- Check filter settings
- Verify source data exists
Unexpected Values
Possible causes:
- Data quality issues
- Calculation errors
- Missing data
Solutions:
- Review underlying data
- Check for outliers
- Verify completeness
Next Steps
