> For the complete documentation index, see [llms.txt](https://docs.qyrus.com/data-testing/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.qyrus.com/data-testing/reports-and-results/index.md).

# Reports Documentation

> Comprehensive reporting features for analyzing validation results and tracking data quality over time.

## Overview

Once your validation jobs complete, detailed reports provide insights into data quality, differences, and validation results. Reports are the primary way you understand and act on validation findings.

{% hint style="info" %}
Reports are available for completed jobs only. Reports provide detailed metrics, visualizations, and actionable insights about your data quality.
{% endhint %}

***

## Report Types

### 📊 Compare Report

Analyze differences between two data sources in detail.

{% hint style="success" %}
Use Compare Reports when:

* Validating data migrations
* Checking replication synchronization
* Comparing production vs. staging
* Verifying external data integrations
  {% endhint %}

**Report Includes:**

* ✅ Matching record count and percentage
* ✅ Row-level differences (inserts, updates, deletes)
* ✅ Column-level variations
* ✅ Detailed discrepancy analysis
* ✅ Data quality metrics

[View Compare Report Guide →](/data-testing/reports-and-results/index/compare-report.md)

***

### ✅ Evaluate Report

Comprehensive validation results for a single data source.

{% hint style="success" %}
Use Evaluate Reports when:

* Validating data quality rules
* Checking schema compliance
* Verifying business rule adherence
* Auditing data governance
  {% endhint %}

**Report Includes:**

* ✅ Overall quality score
* ✅ Rule pass/fail results
* ✅ Data profiling statistics
* ✅ Anomaly detection findings
* ✅ Constraint violation details

[View Evaluate Report Guide →](/data-testing/reports-and-results/index/evaluate-report.md)

***

## 📈 Key Features

### Detailed Metrics

Both report types provide comprehensive metrics:

| Metric                  | Compare | Evaluate |
| ----------------------- | ------- | -------- |
| **Record Count**        | ✅       | ✅        |
| **Match Rate**          | ✅       | -        |
| **Quality Score**       | -       | ✅        |
| **Discrepancy Details** | ✅       | ✅        |
| **Data Profiling**      | ✅       | ✅        |
| **Trend Analysis**      | ✅       | ✅        |

***

### Export & Sharing

{% hint style="info" %}
**Report Export Options:**

* 📄 PDF export for sharing with stakeholders
* 📊 Excel export for further analysis
* 🔗 Shareable links for team collaboration
* 📧 Email delivery integration
  {% endhint %}

***

### Historical Tracking

Monitor data quality trends over time:

* 📅 Historical report comparison
* 📈 Quality score trending
* 🔔 Alert thresholds
* 📋 Audit trail

***

## 🎯 Common Report Use Cases

| Scenario                 | Report Type | Action                                |
| ------------------------ | ----------- | ------------------------------------- |
| **Migration Validation** | Compare     | Verify all records migrated correctly |
| **Replication Check**    | Compare     | Ensure data sync between systems      |
| **Quality Audit**        | Evaluate    | Assess overall data health            |
| **Compliance Check**     | Evaluate    | Verify rule adherence                 |
| **Performance Trending** | Both        | Track improvements over time          |

***

## 📊 Report Navigation

```mermaid
graph TD
    A["Job History"] --> B["Select Completed Job"]
    B --> C{"Job Type?"}
    C -->|Compare| D["View Compare Report"]
    C -->|Evaluate| E["View Evaluate Report"]
    D --> F["Analyze Findings"]
    E --> F
    F --> G["Export & Share"]
    style A fill:#e1f5ff
    style D fill:#fff3e0
    style E fill:#fff3e0
    style F fill:#c8e6c9
```

***

## 🚀 Quick Start

1. **Navigate to Job History** in the platform dashboard
2. **Find your completed job** in the list
3. **Click View Report** to access results
4. **Analyze metrics** and findings
5. **Export or share** as needed
6. **Take action** on discrepancies or issues

***

## Report Best Practices

{% hint style="warning" %}
**Maximizing Report Value:**

1. ✅ Review reports immediately after job completion
2. ✅ Compare across multiple time periods
3. ✅ Export for stakeholder sharing
4. ✅ Create action items from findings
5. ✅ Keep historical records for trending
6. ✅ Set alert thresholds for critical metrics
7. ✅ Document investigation and resolutions
   {% endhint %}

***

## 📚 Detailed Documentation

* [**Compare Report Guide**](/data-testing/reports-and-results/index/compare-report.md) - Analyzing cross-source comparisons
* [**Evaluate Report Guide**](/data-testing/reports-and-results/index/evaluate-report.md) - Understanding quality validations
* [**Job Management**](/data-testing/jobs-and-workflows/index.md) - Running jobs and accessing reports
* [**Create Compare Job**](/data-testing/jobs-and-workflows/index/compare-job.md) - Setting up comparison validations
* [**Create Evaluate Job**](/data-testing/jobs-and-workflows/index/evaluate-job.md) - Setting up evaluation validations

***

## ❓ FAQ

**Q: How long are reports retained?** A: Reports are retained indefinitely, accessible from Job History.

**Q: Can I schedule automated report generation?** A: Yes, set job schedules to generate reports automatically.

**Q: Can I share reports with external users?** A: Yes, generate shareable links or export to PDF/Excel.

**Q: What's included in the Evaluate vs. Compare report?** A: See detailed guides for each [Compare](/data-testing/reports-and-results/index/compare-report.md) and [Evaluate](/data-testing/reports-and-results/index/evaluate-report.md).