> ## Documentation Index
> Fetch the complete documentation index at: https://docs.tetherdata.io/llms.txt
> Use this file to discover all available pages before exploring further.

# Analytics & Metrics

> Track performance and gain insights

# Analytics & Metrics

Tether provides analytics and metrics to help you understand performance, track trends, and make data-driven decisions.

<Note>
  Analytics access may vary by user role. Contact your administrator if you need additional access.
</Note>

## 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 Metrics

Navigate to the metrics dashboard from the sidebar or use the command palette (`Cmd + K` / `Ctrl + K`) and type "metrics".

## 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:

1. Select metric to display
2. Choose time period
3. Select grouping (day, week, month)
4. 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:

1. Navigate to the metrics dashboard
2. Select report type
3. Configure filters
4. View or export

### Custom Views

Create custom metric views:

<Steps>
  <Step title="Select Metrics">
    Choose which metrics to include
  </Step>

  <Step title="Configure Filters">
    Set default filters
  </Step>

  <Step title="Arrange Layout">
    Position metrics as desired
  </Step>

  <Step title="Save View">
    Save for future use
  </Step>
</Steps>

## Exporting Data

### Export Options

Tether exports data in **CSV** format.

| Format  | Use Case                                             |
| ------- | ---------------------------------------------------- |
| **CSV** | Spreadsheet analysis, data import, further reporting |

### Exporting Metrics

<Steps>
  <Step title="Configure View">
    Set up the metrics you want
  </Step>

  <Step title="Click Export">
    Click the export button
  </Step>

  <Step title="Download">
    CSV file downloads automatically
  </Step>
</Steps>

## 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

<AccordionGroup>
  <Accordion title="Monitor Key Metrics">
    Track critical metrics regularly:

    * Forecast accuracy weekly
    * Inventory health daily
    * Sales trends weekly
  </Accordion>

  <Accordion title="Set Benchmarks">
    Establish targets:

    * Based on historical performance
    * Industry standards
    * Business objectives
  </Accordion>

  <Accordion title="Investigate Anomalies">
    When metrics deviate:

    * Identify root cause
    * Take corrective action
    * Document learnings
  </Accordion>

  <Accordion title="Share Insights">
    Communicate findings:

    * Regular reports to stakeholders
    * Alerts for issues
    * Celebrate improvements
  </Accordion>
</AccordionGroup>

## 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

1. **Observe** - Track metric values
2. **Analyze** - Understand why
3. **Decide** - Choose action
4. **Act** - Implement change
5. **Measure** - Track impact

## Troubleshooting

### Metrics Not Updating

**Possible causes:**

* Data sync delay
* Filter excluding data
* Calculation timing

**Solutions:**

1. Wait for scheduled refresh
2. Check filter settings
3. Verify source data exists

### Unexpected Values

**Possible causes:**

* Data quality issues
* Calculation errors
* Missing data

**Solutions:**

1. Review underlying data
2. Check for outliers
3. Verify completeness

## Next Steps

<CardGroup cols={2}>
  <Card title="Demand Forecasting" icon="chart-line" href="/demand-forecasting/dashboard">
    Forecast performance
  </Card>

  <Card title="Inventory Dashboard" icon="warehouse" href="/inventory/dashboard">
    Inventory health
  </Card>

  <Card title="Sales History" icon="clock-rotate-left" href="/demand-forecasting/sales-history">
    Historical analysis
  </Card>

  <Card title="Exports" icon="download" href="/tips/exports">
    Export data
  </Card>
</CardGroup>