Tax and finance data often lives in silos—ERP systems, spreadsheets, compliance tools, and reporting engines. This session will explore how Neo4j transforms fragmented tax data into a connected knowledge graph, enabling better risk oversight, entity resolution, and audit trails. Attendees will learn how to model financial relationships, detect anomalies, and accelerate decision making using a graph-first approach.
Speakers: Coskun Cavusoglu & Michael Tran
Resources:
Get Started with Aura - https://bit.ly/3LOLrjh
Deployment Center - https://bit.ly/4jOelM3
Ground AI Systems and Agents with Neo4j - https://bit.ly/4oVsnyb
#nodes2025 #neo4j #graphdatabase #graphrag #knowledgegraph
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