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In this demo, we show how graph technology and graph algorithms can significantly improve customer experience using Neo4j. Watch how connected data enables: Entity Resolution – Unifying fragmented customer records into a single, accurate customer view Customer Segmentation – Identifying meaningful behavioral and relationship-based segments Churn Prediction – Detecting at-risk customers using graph-based signals and network patterns Unlike traditional relational approaches, graph databases uncover hidden relationships across customers, products, transactions, and interactions — enabling more accurate insights and real-time personalization. This walkthrough demonstrates how organizations can use connected data and graph data science to drive smarter marketing, reduce churn, and increase customer lifetime value. Technologies featured: Graph Database Graph Data Science Entity Resolution Customer 360 Churn Analytics Customer Segmentation Connected Data If you're exploring advanced analytics, AI-ready data foundations, or graph-powered customer intelligence, this demo shows what’s possible. More: https://bit.ly/4aKzt3j