Big data analytics becomes a new opportunity that is helpful in relevant decision makings. In recent years many research shows that big data analytics tools have a strong and significant effect on innovative products and the development of supply chain outcomes. Smart industry is more flexible, thanks to a high level of automation and integration of the entire digital supply chain. Supply Chain is specifically related to Big Data since the volume of different information is large. The amount of data gained from inception to delivery supply chains has increased substantially. Also, the present current competitive environment professionals of supply chain are exploring new approaches to collect, organize, and analyze data to provide innovative insights to various industries. The use of Big Data Analytics on a collection of massive data will produce strategic decision-making for predicting key opportunities and threats in Supply Chain. The objective of this paper is to critically review the two keywords: big data analytics, and supply chain analytics by presenting a comprehensive architecture of the connection between these keywords. This paper also highlights the previous research, challenges, current status, and futures directions of the use of big data in the supply chain.