Technology advances are needed before shippers can use big data analysis for prescriptive solutions.
Despite the slow uptake of prescriptive analytics, other types of big data analysis are starting to make headway in the supply chain. Most experts classify analytics into one of four categories. The most common is what’s known as "descriptive analytics," insights into what happened in the past and why. Nowadays, most logistics software applications, such as warehouse management and transportation management systems, come with some type of descriptive analytics. Because descriptive analytics has been in use for decades, it’s generally not considered to be fodder for big data analytics, whose purpose is to explore uncharted information territory.