What is the Data Quality Dashboard?

The Data Quality Dashboard shows overall quality metrics for your product database, including quality scores, validation errors, outliers, and recommendations for improvement.

How is quality score calculated?

Quality score (0-100) is calculated based on data completeness, validation errors, data consistency, verification status, and data source. Higher scores indicate better quality data.

Outliers are products with data values that are significantly different from the average (more than 2 standard deviations). These may indicate data entry errors or unusual products.

How can I improve data quality?

Fill in all required fields, verify data accuracy, use verified data sources, fix validation errors, and review outliers to ensure data quality.

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Data Quality Dashboard

Monitor and improve the quality of your product database

Updated January 1, 2026

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Overall Data Quality

/ 100

0 products in database

Excellent

Good

Fair

Poor

Quality Distribution

Excellent (90-100)0

Good (75-89)0

Fair (60-74)0

Poor (0-59)0

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✅ Focus on improving data completeness - fill in all required fields
✅ Use verified data sources for better quality scores
✅ Fill in monthly sales data (required for accurate estimates)

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