Gartner's hype cycle suggests that graph technology is at a peak of inflated expectations, but this article aims to cut through the noise by highlighting five noteworthy use cases for graph technology and graph analytics. Graph technology stores data and relationships in mathematical graph theory, emphasizing connections between data points. This approach allows for faster query performance and better analysis of complex data relationships. Five proven use cases highlighted include machine learning, fraud detection, regulatory compliance, identity and access management, and supply chain transparency. These use cases demonstrate the benefits of graph databases in various industries, such as powering recommendation engines, detecting fraudulent social media accounts, and tracing sensitive data for compliance purposes. By modeling complex relationships and providing scalability and agility, graph technology can bring greater transparency and efficiency to business operations.