This session will provide a concise overview of the importance of Master Data Management (MDM) in the commercial pharma domain. It emphasizes the role of Neo4j, a graph database, in efficiently storing and managing complex data structures. The incorporation of fuzzy matching algorithms, notably the Sorenson distance algorithms, will be highlighted. Attendees will gain insight into the adaptable nature of the graph-based MDM process, enabling customization based on specific data attributes and business rules. The session will provide an overview of how Neo4j and its extensive libraries facilitate accurate data integration and the maintenance of high data quality standards.