The supply chain is vital in achieving a conducive working environment for business stakeholders. Current developments in big data analytics technology create insights that help supply chain members achieve their objectives (Mol, 2015). The bottleneck of unsustainability in industries can be achieved when firms take corrective actions on challenges that members encounter while analyzing open data (Saeed & Kersten, 2019). A literature review is the method of investigation in the study. During the inquiry, 50 research articles were analyzed by researchers to get comprehensive results on the topic (Scott, 2020). The paper applies the Toulmin model of argumentation to elaborate on the link between big data analytics and supply chain management. Some components of big data analytics are integration, security, economics, reporting, analytics, and data processing. (Gardner et al., 2019). Researchers in the study have used different examples of supply chains to analyze and understand the relationship between transparency and sustainability in various supply chain categories (McDermott, 2014). Supply chain information enhances improvement in sustainability governance. In this paper, the researchers gathered information from the literature to get a comprehensive concept of sustainable supply chain management (Egels-Zandén & Hansson, 2016). A direct correlation between sustainability and supply chain through an open data management approach exists. Applying big data analytics by firms can lead to cost savings by reducing expenses that the company could have otherwise incurred in the health and safety of the workforce and members of society. The data should comply with quality for effective decision-making across the supply chain network (Brandenburg et al., 2019).