Mastering Data Quality in Product Analytics with Data Warehouses
Learn more about Mixpanel and the Data Warehouse: link.timodechau.com/mixpanel-266
In this actionable video, we dive deep into one of the biggest challenges data teams face - data quality. Starting with common pitfalls in event implementation, the video transitions into a comprehensive guide on how to build a setup with improved data quality using data warehouses. You'll learn why traditional SDK-based methods are limited and discover how leveraging a data warehouse provides greater control, allowing for better data modeling, testing, and ultimately, cleaner analytics. Sponsored by Mixpanel, this session explores how their new product analytics solution integrates seamlessly with your data warehouse. Gain insights on enriching data, implementing unique tests, detecting anomalies, and ensuring the integrity of your events and properties-all with a real-world example from our own video platform. Tune in to elevate your data quality game and build trust in your product analytics.
00:00 Introduction to Data Quality Issues
01:34 Classic Data Collection Methods
04:37 Challenges with SDKs
09:44 Introducing Data Warehouses
13:28 Implementing Data Quality Tests
14:42 Real-World Example and Testing
21:23 Advanced Testing Techniques
31:42 Conclusion and Final Thoughts
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Event data and analytics can help businesses create better products, support growth teams, and even make sales teams happy. In this channel, I post videos explaining how to work with event data, how to master event analytics tools, and how to apply these things to your business.
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