Abstract: Today's world is the world of data inundated everywhere starting from a small purchase/procurement transaction to the big deal accolated with high commercial value. Supply chain professional are thinking, analyzing, executing and creating strategies about how data are produced, organized and analyzed. Now this has further motivated many organizations to adopt efficient data analytic strategies in order to enhance data quality, supply chain processes and finally efficient and productive results.
Now, in this paper we will introduce the challenges in Big Data in Supply Chain Management and our need of various tools to cop-up with those challenges. Every tool has his own pros & cons, now because of rapidly growing industry and emerging markets, various tools for Data Collection, Data Cleaning, Data Mining, Data Integration, Data Analysis, and Data Visualization have been introduced. We will study the current need of those tools used in Data analytics & Big Data Management in Supply Chain Management and their pros and cons.
Keywords: Big Data, Supply Chain Management, Datasets, Dashboard, DAX, Tableau, Power BI