Dun & Bradstreet, a company that collects data on about 350 million companies, uses the Neo4j graph database to empower financial services customers to rapidly query and surface connections in their massive dataset. By utilizing Neo4j's capabilities, Dun & Bradstreet has significantly reduced the time it takes to identify patterns such as ownership loops, which are illegal, and data inconsistencies, ultimately enabling more accurate results. The company's use of Neo4j has led to a "lean-in moment" where users become engaged and motivated by the visualizations and possibilities presented by the graph technology. With their focus shifting towards understanding people and connecting them with companies, Dun & Bradstreet aims to adopt a more people-centric approach rather than solely focusing on company-centric data analysis.