CUSTOMER STORY | PepsiCo: From fragmented BI to an AI-ready foundation on Azure Databricks

Tushar_Parekar — Thu, 16 Apr 2026 13:42:21 GMT

“Now, we have a clear direction and technology to support it. With open source data lakehouse, we can centralize all of our global data in one place. Adding in the benefits of a serverless infrastructure, we can now perform various AI analytics at scale super efficiently."
– Joshua Lee, Lead Global Solution Architect for Data Analytics & AI, PepsiCo

PepsiCo, one of the world’s largest food and beverage companies, is transforming a 27-year-old, fragmented BI landscape by moving to a single, governed analytics and AI platform on Azure Databricks SQL and Unity Catalog. This is helping them cut costs, speed up critical reporting, and give finance, sales, and field teams a shared, trusted view of the business.

Key highlights:

~80% lower cost on a major sales analytics workload: By shifting a key sales analytics workload to DBSQL serverless, costs dropped from about $500K to $175K with similar performance.
~50% faster processing: Core financial and commercial tables are now built once in Databricks SQL and served to Power BI and Tableau, improving processing times by around 50%.
One unified, governed warehouse layer: Data from multiple older warehouses and sector data lakes now lives in a single enterprise data foundation, which simplifies the stack and provides a repeatable way to retire Synapse and Teradata while preparing for AI-driven analytics at scale.

Curious how PepsiCo cut costs by up to 80% on a key sales analytics workload and sped up reporting by around 50% with one AI-ready warehouse on Azure?

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topic CUSTOMER STORY | PepsiCo: From fragmented BI to an AI-ready foundation on Azure Databricks in Announcements

CUSTOMER STORY | PepsiCo: From fragmented BI to an AI-ready foundation on Azure Databricks