A warehouse-native stack is an analytics stack that has a single data repository (otherwise known as the data warehouse) that all customer data is fed into and acts as a source of truth for all data gathered and managed by an organization.

In this tech talk, Phantom will talk about their experience transitioning from a siloed analytics approach to a warehouse-native approach in building an efficient data stack based on large, diverse, high-quality datasets that unlock use cases otherwise not possible with data analytics tools on their own.

We’ll also explore how Eppo allows AB experimentation natively on the data warehouse.