If you're looking for a service that can automatically spot and fix problems with your digital analytics data, Trackingplan could be worth a look. The service helps ensure the quality and integrity of digital analytics by automatically finding and fixing marketing data problems. It can automatically detect and resolve data problems, track data in real time, set up custom alerts and integrate with multiple systems. That can help keep data quality problems out of production and ensure your analytics data is trustworthy.
Another good option is Metaplane, a data observability service that can quickly spot and fix data problems. Metaplane includes ML-based monitoring and anomaly detection, data CI/CD, column-level lineage and usage analytics. It can alert you to real-time schema changes and automatically flag unusual runs, which can help you dramatically reduce the time spent on triaging data quality issues and improve data trust and collaboration.
For event data quality, Avo has a variety of tools, including data observability and monitoring with customizable alerts, collaborative schema management and real-time feedback. Avo integrates with a variety of analytics tools and has features like Avo Inspector to help you find and fix data quality problems. That can help data and product teams build better user experiences and speed up data quality work.
Last, Mikrolo is a SaaS tool that automatically finds and fixes problems with Google Analytics and Google Ads. It has automation for efficiency and accuracy, broad metrics and detailed reports, and customizable rules for optimizing ad strategy. That can be useful for avoiding big spending losses and getting the most out of Google Ads.