In this session, Shaurya Agrawal will guide you through the architecture and implementation of a modern Customer Data Platform (CDP) powered by Neo4j, the industry-leading graph DB. As organizations strive to unify and activate customer data from disparate sources, traditional relational models often fall short in capturing the complex, interconnected relationships that drive true customer understanding. This session will demonstrate how Neo4j’s flexible schema enables seamless integration of multi-channel customer data, and showcase how graph algorithms can uncover hidden patterns in customer journeys, preferences, and behaviors.

You will explore techniques for ingesting, linking, and querying customer data using Cypher, Neo4j’s powerful query language. Shaurya Agrawal will walk you through real-world use cases such as identity resolution, personalized recommendations, and advanced segmentation, illustrating how a graph-based CDP can deliver actionable insights and drive business value. By the end of the session, you will understand how to design and build a scalable CDP on Neo4j, leverage graph analytics for deeper customer intelligence. Whether you are a developer, architect, or data professional, you will leave equipped with the knowledge and resources to start your own graph-powered customer data journey.