Case Study: Capillary Technologies achieves faster, more personalized customer engagement with Databricks

A Databricks Case Study

Preview of the Capillary Technologies Case Study

Capillary uses Databricks Data Intelligence Platform to foster customer loyalty

Capillary Technologies, which helps major brands like Shell and Levi’s run loyalty and marketing programs, faced growing data challenges as it managed more than 13 billion customer records and 100+ global loyalty programs. Its legacy data warehouse struggled with scale, slowing performance and adding operational overhead, which made it harder to deliver timely, personalized customer engagement.

With Databricks and the Databricks Data Intelligence Platform, Capillary moved to a lakehouse architecture to process and analyze data faster and more cost-effectively. The solution gave Capillary a unified view of its data, enabled analytics and machine learning, and reduced infrastructure burden, helping the company deliver actionable insights that improve customer retention and lifetime value.


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Capillary Technologies

Piyush Goel

SVP of Engineering


Databricks

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