Data Analysis and Fusion in Logistics: Rules is Changed

Earlier big data were sufficiently large and complex that they required novel analytics to extract, integrate, and interpret meaningful information. With data fusion now it is easy to combine different types of data to keep your finger on the pulse of your own business.