Presentation: Challenging Google Analytics: Building a Scalable, Cost-Effective User Tracking Service
📰 InfoQ AI/ML
Learn how Delivery Hero replaced Google Analytics with a scalable, cost-effective user tracking service, handling 10x more load and capturing 97% of tracking data
Action Steps
- Design a simplistic architecture for user tracking
- Implement a scalable data ingestion pipeline
- Develop a data processing and storage system
- Configure data visualization and reporting tools
- Test and validate the new tracking platform
Who Needs to Know This
Data analysts, product managers, and software engineers can benefit from this approach to build a customized user tracking platform, reducing costs and improving data accuracy
Key Insight
💡 A well-designed, scalable architecture can help organizations reduce costs and improve data accuracy in user tracking
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💡 Ditch Google Analytics for a custom, scalable user tracking service! Delivery Hero's approach handled 10x more load & captured 97% of tracking data
Key Takeaways
Learn how Delivery Hero replaced Google Analytics with a scalable, cost-effective user tracking service, handling 10x more load and capturing 97% of tracking data
Full Article
Alina Krasavina explains how Delivery Hero successfully deprecated Google Analytics and migrated to an internal user tracking platform. She discusses how a simplistic, highly scalable architecture allowed them to handle 10 times more load while capturing 97% of tracking data. By Alina Krasavina
DeepCamp AI