Analytics Data Quality

Data Quality Fundamentals

Accurate data is essential for good decisions. Regular audits and quality checks ensure your analytics are reliable.

Common Data Issues

Missing data, duplicate tracking, incorrect implementation, bot traffic, and configuration errors.

Data Validation

Compare data across sources, check for anomalies, verify tracking implementation, and test regularly.

Bot Filtering

Enable bot filtering in GA4, monitor for suspicious patterns, and use additional bot detection if needed.

Tracking Audits

Regularly audit tracking implementation, verify events fire correctly, and check data layer accuracy.

Data Governance

Establish data standards, document tracking specifications, and maintain change logs.

Quality Metrics

Monitor data completeness, accuracy, consistency, and timeliness.

Improvement Process

• Identify quality issues
• Prioritize fixes
• Implement corrections
• Monitor improvements