Session

Caring for Our Data: How Chick-fil-A Enables Data-Driven Decision Making with Databricks

Overview

ExperienceIn Person
TypeBreakout
TrackAnalytics and BI
IndustryRetail and CPG - Food
TechnologiesApache Spark, AI/BI, Databricks SQL
Skill LevelIntermediate

Chick-fil-A’s adoption of Databricks has been rewarding, providing us with a modern, scalable, efficient data platform that meets our evolving needs. With lakehouse, Chick-fil-A can unlock new insights, drive business success and continue “Winning Hearts Every Day.” Our top priority is ensuring our customers have an exceptional experience. We have unrivaled discipline in store operations and guest interaction, but our data systems were lagging. Owner/operators were spending too much time sitting in front of screens getting data to manage their stores. That data was often slow and untrusted. This is why we’re enabling AI that enables them to ask questions to get accurate responses, allowing them to spend more time in store working with team members/delighting customers. Databricks also provided BI performance improvement that has addressed major challenges to store operators, helping them to make better decisions with sales forecasting, labor optimizations and inventory management.

Session Speakers

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Aaron Reese

/Enterprise Architect
Chick-fil-A, Inc

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Elizabeth Williams

/Data architect
Chick-fil-A