Session

Built on Databricks: How CMSPI Scaled Payments Routing and Optimization Using Lakebase and DBSQL

Overview

ExperienceIn Person
TrackLakebase
IndustryRetail & Consumer Goods, Financial Services
TechnologiesDatabricks SQL, Unity Catalog, Lakebase
Skill LevelIntermediate

CMSPI built a Databricks-native analytics app that automates payments optimization at enterprise scale — replacing spreadsheets with a governed platform that processes billions of transactions and delivers measurable time and cost savings for global merchants.

Lakebase powers real-time scenario configuration, while Delta tables and SQL warehouses enable interactive analytics. Databricks Workflows orchestrate a mathematical solver (PROM) that evaluates billions of routing combinations and returns results in 30–40 minutes — eliminating 30+ hours of manual work per initial analysis and uncovering ~10% incremental savings opportunities.

This session shares CMSPI’s path to productization: access control with Entra ID groups, MLOps for approval-rate prediction models and external monetization via Delta Sharing to non-Databricks consumers. The architecture demonstrates the “built on Databricks” pattern for secure, governed apps — with plans to expand collaboration using Databricks Clean Rooms.

Session Speakers

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Jordan Pierce

/VP of data
CMSPI

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Sanjay Ashok

/Solutions Architect
Databricks