Data Analytics For Supply Chain is the process of using data-driven techniques to analyze supply chain performance in order to identify problems, increase efficiency, and optimize operations. It involves collecting large amounts of data from various sources in the supply chain, applying analytical techniques to that data to understand it, then using those insights to make informed decisions on how to best manage and improve the supply chain. Data analytics for supply chain enables organizations to stay ahead of the competition by identifying opportunities in supply chain operations and quickly responding to changing market conditions.