A method and system for supply chain data analysis. The method includes storing supply chain data including test data, genealogy data, repair data, some factors and some items, in one or more databases and selecting a portion of the factors from the stored data, and a time range for analysis. The method then selects one or more criterion for analysis; extracts a portion of the stored data; analyzes the extracted portion of the stored data to detect a combination of factors that result in a test failure, according to the selected factors, the time range, and the selected one or more criterion. The method then detects a root cause for the detected combination of factors; performs correlation analysis between the selected factors; and performs trend analysis on the selected factors.