Case Study: a leading retail enterprise builds a Customer 360 platform with NeosAlpha and Databricks

Leading Retail Enterprise reduces duplicate customer records with NeosAlpha

a leading retail enterprise faced challenges with fragmented and duplicate customer data spread across numerous systems like CRM, eCommerce, and point-of-sale platforms. This lack of a unified view limited their ability to gain customer insights and deliver personalized experiences. To address this, they engaged NeosAlpha for a data platform modernization service to build a Customer 360 platform on Databricks.

NeosAlpha designed and implemented a Databricks Lakehouse solution that unified customer identity management and automated data integration from multiple sources. This created a single source of truth for customer information. The results for the retail enterprise included significantly improved data quality, accelerated analytics for decision-making, and a scalable foundation for future AI initiatives, all enabled by the platform built by NeosAlpha.