Graph analytics is used to detect fraud, find influencers in social networks, do what-if analysis in manufacturing workflows, and more. With Oracle Graph you can model your relational tables as a set of connected entities to view your data as a graph, to uncover new insights based on the connections in data. Graph Studio in Autonomous Database makes it easy to create, query, analyze, and visualize graphs.  We will show examples of using these powerful features to detect anomalous patterns in a financial transactions dataset in the database. We will demonstrate the use of an automated graph modeling tool to create a graph from data in relational tables, use a SQL-like graph query language to query the graph, and use pre-built graph algorithms to explore and analyze the data in new ways.