Case Study: Pizza Hut achieves near‑real‑time Super Bowl decision‑making with Snowflake Data Cloud

A Snowflake Case Study

Preview of the Pizza Hut Case Study

The Snowflake Data Cloud Enables Pizza Hut to Accelerate Decision-Making During the Super Bowl

Pizza Hut, the global restaurant chain with over 18,000 locations, faced growing limits with its on‑premises data warehouse: scaling was slow, costly, and required heavy DBA effort, and peak events like the Super Bowl—when data volumes can triple—left the company without unified, near‑real‑time analytics to support rapid business decisions.

After a quick Snowflake Data Cloud proof of concept, Pizza Hut moved to Snowflake’s instant elasticity and Snowpipe for continuous ingestion, provisioning space in a day and completing migration in weeks. The result was democratized, near‑real‑time analytics for executives and data scientists (using Python, R, and Spark), integrated weather and geolocation data for targeted campaigns, reduced maintenance overhead, and plans to add dynamic data masking to enhance security and compliance.


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Pizza Hut

Faisal Kp

Senior Manager, Enterprise Data Services


Snowflake

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