Supply Chain is a tricky business. One missing entity or a lack of synchronization can break the entire chain and mean millions in losses for a company. However, the use of analytics in this domain is resolving several pain points in supply chain management at the strategic, operational, and tactical levels.

According to Capgemini Analytics, “Supply Chain Analytics brings data-driven intelligence to your business, reducing the overall cost to serve and improving service levels.” For supply chain professionals, it can only mean one thing – to upskill to be able to use advanced analytics to improve operational efficiency and make data-driven decisions.

Analytics uses data to make predictions to help businesses take advantage of the widely available data in the supply chain industry. Data Visualization techniques ranging from charts, graphs, and more help decision making, by uncovering patterns and generating insights.