The Financial Times has successfully implemented Neo4j in their data management system, leveraging its capabilities for inferencing and linking data together to provide a richer experience for readers. They experimented with using Neo4j after previously relying on an RDF triple store, finding that it offered significant productivity gains by allowing them to rewrite nearly 12 months' worth of work in just three months. The team enjoyed the ability to collaborate around whiteboards and discuss models amongst developers, making it a great experience for collaboration. In retrospect, they would have liked to be less scared about creating nodes and more willing to iteratively change their data model to fit queries. They are excited about the new Neo4j drivers, particularly Bolt, which they believe will offer improved performance in languages like Go. The project was made possible by taking control of the technology and demonstrating its capabilities, with support from management, allowing the team to take ownership and responsibility for the changes.