Product analytics is the most critical and complex task for any product team. There are thousands of data points that have to be analyzed carefully while setting up the product analytics foundation and it enables product teams to use data to track, visualize, and analyze user engagement and behavior that can be used to improve and optimize a product experience. However, managing large data workloads can be very challenging as not all data that is collected can be directly used for analytics.

Watch this session as Mickey Alon, the creator of Gainsight PX shares his lessons learned from building highly scalable product analytics solutions from the ground up. Drawing on his personal experience of building innovative SaaS products, Mickey will cover the principles of Product Analytics, why product usage data is foundational to subscription businesses, and how exponential growth can be addressed.

In this session you will learn:

• How to Build Product Analytics at Petabyte Scale
• The Importance of Data Enrichment
• The Keys to becoming more Customer Centric
• Cost aspects of Data Processing