Big Data Analytics Role in Managing Complex Supplier Networks and Inventory Management

In today's world, competition is not only restricted between the marketing aspects of two companies or big firms. The competition has expanded between the supply chain management perspectives of two firms. In order to sustain within the current competitive environment supply chain professionals of a firm are struggling hard to handle large-scale data, that is important to reach an integrated, efficient, effective as well as agile supply chain process within their business. As a result, explosive growth of data volume and amount of data within business, made it mandatory for the supply chain processionals to use an effective data analytic tool in order to manage these data. The main aim of this study is to identify use of various data analytic tools in order to manage large data of supply process and inventory management process with several advantages and disadvantages. As per the literature findings, it has been observed that use of data analytic tools within an organisation can be helpful to investigate new insights of the supply chain process, which can be able to detect different parts and elements of that process. A mixed method approach has been incorporated within this research paper by collecting primary and secondary both data collection process. Total 50 employees engaged with inventory and supply chain management of different firm are chosen to conduct a survey. Secondary data are collected from secondary sources. As per the findings, it can be stated that big data analytics plays a positive role in organization for managing large data.