Graph databases, particularly those built on Neo4j, are being utilized to tackle pressing issues such as managing critical infrastructure and detecting cyber threats. By incorporating space and time dimensions into graph visualizations, users can gain actionable insights from data. Visualizing data in both space and time allows for the identification of patterns and relationships that may not be immediately apparent when viewing data on its own. This approach enables organizations to extract valuable information from complex networks and make informed decisions. The use of tools like KeyLines, which is compatible with Neo4j, facilitates the creation of visualizations that bridge the gap between an organization's data and end-users who require actionable insights.