Question: Can you recommend a tool that helps ensure data quality and prevents tracking issues in analytics?

If you need a tool to ensure data quality and avoid tracking problems in analytics, Metaplane is well worth a look. The data observability platform automates end-to-end data observability, including ML-based monitoring, anomaly detection and real-time schema change alerts. It integrates with many modern data stack tools and helps teams quickly identify and fix data issues, which boosts data trust and collaboration.

Another good option is Trackingplan, which is designed to ensure the quality and integrity of digital analytics by automatically finding and fixing marketing data problems. It offers real-time tracking, customizable alerts and integration with several tools, making it a good choice for keeping analytics on the right track.

Also worth a look is Avo, which offers more general data quality features, in particular for event data. Its customizable alerts, real-time feedback and integration with analytics tools like Google Analytics and Segment means data and product teams can build better user interfaces with higher-quality data insights.

Last, Collibra has a more general-purpose data intelligence platform with data quality monitoring, pipeline reliability tracking and integrated data management. Its AI Governance and Data Catalog features help ensure data quality and compliance, and it's a scalable and flexible option for boosting productivity and reducing manual labor in data work.