Case Study: LoyaltyOne achieves 2x offer response rate and 97% faster analytics with Databricks

A Databricks Case Study

Preview of the LoyaltyOne Case Study

LoyaltyOne - Customer Case Study

LoyaltyOne, owner of Canada’s AIR MILES loyalty program serving 11 million households, faced a massive data challenge: millions of transactions from dozens of retailers, 100+ partners, 500M emails and 1,200 campaigns per year. Their legacy Netezza warehouse was slow and unscalable—simple queries could take hours—and the team lacked broad Spark expertise, limiting their ability to analyze historical and real-time data and to productionize advanced analytics for 1:1 conversational marketing and ML use cases.

Databricks gave LoyaltyOne a unified analytics platform with collaborative notebooks, automated cluster management, autoscaling and spot-instance cost controls, and an integrated data engineering-to-ML workflow. The platform simplified infrastructure, improved cross-team collaboration and sped development, enabling a 2x increase in offer response rate and a 97% improvement in processing speed while reducing operational overhead.


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LoyaltyOne

Bradley Kent

Assistant Vice President, Program Analytics


Databricks

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