Phone operators can provide valuable information to law enforcement by analyzing phone call data. In this article, we explore how to use graph technologies to analyze phone calls and identify potential suspects in a crime scene. We start by defining a data model that represents the relationships between phone numbers, locations, and people involved in the calls. The data is then imported into Neo4j, a popular graph database, using Cypher, its query language. By querying the graph database, we can find the potential suspect who made a call near a specific location at a certain time. We also explore how to create relationships between suspects and their known associates, which can help identify the perpetrator in a crime scene.