Breaking Silos: Using Neo4j to Unify Tax and Finance Data

Session Track: Data Intelligence

Session Time: 08:00 pm - 08:30 pm November 6

Session description

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

Tax Transformation Strategist | AI, Data & Technology Leader at EY FSO TTT

With 20+ years’ experience focused on strategy, technology and transformation; he also serves as the EY Americas Financial Services Tax Technology and Transformation Leader. Coskun and his team of dedicated tax technology consultants assist financial services clients in designing technology approaches to their tax technology and process challenges, delivery lasting transformations. Previously, Coskun served as a director in another Big Four tax reporting and strategy practice, as senior architect of customer solutions and as a director of consulting. He has authored several books on Microsoft SharePoint technologies and is a frequent speaker at national and international technology conferences. How Coskun is building a better working world Leveraging the transformative power of technology, I focus on developing teams that create value and bring happiness to the people around them. By utilizing technology and working together effectively, we can make organizations more stable, improve people’s ability to communicate efficiently — boosting their productivity — and help them succeed in the modern workplace.

Michael Tran

FSO Tax Technology Strategist, EY

Michael Tran is a senior manager in the Tax Technology and Transformation practice at EY, bringing years of experience in designing and implementing cutting-edge technology solutions for tax functions. He specializes in harnessing AI and data to drive efficiency and unlock transformative capabilities for clients navigating complex tax landscapes. Michael oversees the development of end-to-end technology ecosystems for clients, managing both internal tax compliance tools and client-facing implementations. Currently, he is spearheading a high-impact project to reimagine tax processes through AI-driven transformation, leveraging advanced data platforms and graph technology to enable powerful analytics and new possibilities previously constrained by legacy systems.

Han Wang

EY, FSO Tax Technology Transformation

Han is a manager in the FSO TTT service focused on enterprise scale data platform design and implementation and AI/ML use cases. Han leads a team with more than 30 team members to help FSO clients with all stages of enterprise data transformation journey. Han has specialty in large-scale automated data ingestion, data quality scanning, data cleansing, data transformation, common data model, machine learning, event-driven architecture, and cloud infrastructure.