Snowflake + Instacart = Optimize Data to… Improve Analytics / Recommendations / Personalization Snowflake = Broad Data Access Snowflake There's a lot of value in business data, but most Monthly Active Customers companies struggle to extract that value. ~2,000 The issue is with existing technology. The list of challenges we hear from our customers is consistent: Data is segregated into separate silos, significant energy goes into managing infrastructure, concurrency & resource limitations get in the way of business needs & overall the tools are hard to work with. Snowflake's unique architecture solves these problems being built from the ground up to leverage the scale, performance & elasticity of the cloud. 2014 2015 2016 2017 2018 2019 Frank Slootman – Snowflake, CEO, 6/19 Instacart = Product Replacements Instacart Households Covered Every time an Instacart shopper scans an item into 100MM+ their cart or marks an item as “not found,” we get information that helps us make granular predictions of an item’s in-store availability. This helps us recommend appropriate replacements for items likely to be out-of-stock. Among other improvements, performing complicated feature engineering in our Snowflake data warehouse instead of python, this new [item replacement] tool, which scores <20MM 15x more items than previous tools, was built with 1/5 of the resources in 1/4 of the time. 2016 2017 2018 Instacart – 12/18 Source: Snowflake (5/19). Instacart (12/18). Internet Trends 141 2019