GrowthBook 2.0 introduces several enhancements focused on data and statistics to improve experimentation efficiency and user experience. The update incorporates CUPED for variance reduction, allowing users to speed up experimentation by effectively increasing the equivalent sample size, as evidenced by Microsoft achieving a 20% traffic boost for metrics. The new release also enhances the SQL editing experience with a schema browser, enabling users to directly access database schemas within GrowthBook, streamlining the construction of exposure and metric queries. SQL query execution speed has doubled thanks to internal optimizations and a new "Experiment Duration" attribution model, facilitating easier and more accurate analysis of experiment metrics. Additionally, GrowthBook 2.0 now supports native integration with Databricks, expanding its data source compatibility and simplifying the connection process for users.