Case Study: Pizza Hut achieves faster self-service analytics and AI-ready data with Honeydew on Snowflake

Pizza Hut speeds up reports by 50% with Honeydew

The customer Pizza Hut faced a challenge where its business users needed to use Excel and Power BI for analytics on complex, large-scale data within Snowflake. Using Power BI's native Direct Connection was slow and unreliable, while an alternative solution, Microsoft Fabric, created a costly data silo that led to data duplication, inconsistent metrics, and increased engineering efforts.

The vendor Honeydew provided a universal semantic layer native to Snowflake. This solution connected Power BI and Excel directly to Snowflake, giving users granular access to data with over 100 standardized metrics without any data duplication. This resulted in a 50% faster development of reports, a 30% reduction in costs and engineering effort, and saved four hours in daily ETL processing, while also making the data AI-ready.

Pizza Hut