Graph data science is a science-driven approach to gain knowledge from the relationships and structures in data, typically to power predictions. Neo4j created the first enterprise graph framework for data scientists to improve predictions that drive better decisions and innovation by incorporating the predictive power of relationships and network structures in existing data. This approach helps answer previously intractable questions and increase prediction accuracy.