Statsig Warehouse Native was built by Statsig to seamlessly plug into your Databricks warehouse and run complex calculations for you with a simple interface.
Feature flags (AKA 'feature gates' or 'feature toggles') enable teams to control how, when, and to whom their feature updates are launched.
Despite what you may believe, you don't actually need millions of weekly active users to see success with experimentation. We'll illustrate this with three scenarios:
Starting today, Statsig will proactively detect and flag pre-experiment bias in your experiments to ensure your results are trustworthy.
Instead of using experimentation to search for wins, successful organizations use it as a tool to holistically measure the impact of all of changes and feature launches.
Using Dynamic Configs to store LLM inputs lets you control the LLM calls you use from one central system, making it easy to run experiments.
Eppo is an enterprise-grade warehouse-native product experimentation platform, but there are numerous SaaS platforms in this space. What makes them different?
Product observability is a proactive, adaptive, and continuous approach to measuring the impact of what you build, and leveraging that data for future builds.
Statsig Warehouse Native brings Statsig’s stats engine into your data warehouse. It’s fast, modular, and now can run on your own datasets in your own data warehouse.
We hosted an event with Ronny Kohavi who is widely recognized for his contributions to experimentation and machine learning. Here's a recap, in case you missed it:
Find out how Notion, a non-AI company, adopted AI early and launched features that catapulted them to the leading edge of the competitive tech market.
Statsig can accelerate companies' growth analytics in a myriad of ways, from defining user accounting metrics, to tracking retention, and more.
AI technology has been here for years, but the new wave of AI products and features is game-changing. We covered this, and other topics, at the Seattle AI Meetup.
Building a culture of experimentation benefits greatly from things like reviewing experiments regularly and discussing the results.
Thanks to our support team, our customers can feel like Statsig is a part of their org and not just a software vendor. We want our customers to know that we're here for them.