A method of managing supply chain risks having a supply chain risk analysis implementation, includes loading from a data storage or a memory, supply chain data for a supply chain which indicates information about the supply chain; mapping the supply chain data to a consistent input model; automatically analyzing, by an analytics module implemented on a processor, the input model to detect supply chain anomalies indicating the supply chain risks; producing an analysis results output of the analyzed input model; and outputting the analysis results output of the detected supply chain anomalies to the memory, the data storage, a display, or a message. A supply chain risk analysis system includes the processor, the data storage or the memory that stores the supply chain data for the supply chain which indicates information about the supply chain. The processor is configured to perform the processes.