Product analytics traditionally has been done using specialized tools that offer a complete package of instrumentation, storage, compute, and analytics as an isolated SaaS service. The silo-ed analytics of these systems, along with their high cost have resulted in low ROI and poor adoption of product analytics in enterprises. The next generation of product analytics platforms like NetSpring are built on a modern warehouse-native architectural pattern, with all data centralized in the secure enterprise data warehouse. These systems leverage the elasticity of modern Cloud data warehouses/lakes. They can seamlessly analyze across product instrumentation streams and other customer business data in the data warehouse. As a result, these systems are emerging as a lower cost, higher ROI, more business-impactful, and better governed alternative. This talk describes the value that these modern platforms bring to product-led companies.