Harsha Chauhan Naziya Hussain Purnima Chourasiya


Abstract:- The amount of data produced and communicated over the Internet is significantly increasing, thereby creating challenges for the organizations that would like to reap the benefits from analyzing this massive influx of big data. This is because big data can provide unique insights into, inter alia, market trends, customer buying patterns, and maintenance cycles, as well as into ways of lowering costs and enabling more targeted business decisions. Realizing the importance of big data business analytics (BDBA), we review and classify the literature on the application of BDBA on logistics and supply chain management (LSCM) – that we define as supply chain analytics (SCA), based on the nature of analytics (descriptive, predictive, prescriptive) and the focus of the LSCM (strategy and operations)

Keywords:- BDBA-Big Data Business Analytics, LSCM-Logistics and Supply Chain Management, SCA-Supply Chain Management, International Data Corporation, SSD-Solid State Drive, PCM-Phrase Change Memory, HDFS- Hadoop Distributed File System, ETL Extraction, Transformation and Loading.

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