Case Study: Lockheed Martin Space Systems achieves Product 360 visibility, reduced costs and faster insights with Neo4j

From Scientists to Satellites LMSS Tackles Disparate Life Cycle Data with a Neo4j Product 360 System

Lockheed Martin Space, a leading government and aerospace contractor that builds satellites and space vehicles, struggled with highly fragmented, disparate data across long product lifecycles. Tribal knowledge and hundreds to thousands of datasets living in siloed systems made integration costly, unscalable, and impeded visibility into how design changes would impact schedules and downstream work.

LMS implemented a Neo4j Product 360 graph database to map and connect datasets across legacy systems, creating a single “product nervous system” for lifecycle data. The graph made it fast and easy to query relationships, reducing manual effort and costs, improving schedule predictability, and shrinking insight discovery from weeks or months to seconds so teams can prioritize process improvements and scale.

Lockheed Martin Space Systems

Ann Grubbs

Chief Data Engineer