Big Data in the Field of Logistics: A Retrospective Manner to Resolve
Himani Sivaraman1, Amit Gupta2, Om Deep Gupta3
1Himani Sivaraman, Department of CSE, Graphic Era Hill University, (Uttarakhand), India.
2Amit Gupta, Department of CSE, Graphic Era Hill University, (Uttarakhand), India.
3Om Deep Gupta, Department of Management, Graphic Era Hill University, (Uttarakhand), India.
Manuscript received on 27 April 2019 | Revised Manuscript received on 09 May 2019 | Manuscript Published on 18 May 2019 | PP: 1-3 | Volume-8 Issue-6S4 November 2019 | Retrieval Number: F10021186S419/19©BEIESP | DOI: 10.35940/ijeat.F1002.1186S419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Big data a term created a huge change in the under currentan upcoming revolutionizing supply chain industry . The data is the new oil and gas for the modern word .SCM has also not left untouched with its Midas touch . The upcoming techniques of making decision to upgrade the profitability and data reverences. The algorithms of big data and its analytical excellence tools helped making better decisions to the upper hand decision maker and researchers .The situation of dealing a humongous and heterogenous data has been changed by these techniques . The old school SCM methods have taken a back seat in dealing these data sources. This paper is in advocacy of the present day techniques and create a path way to the explore the possibilities of the success of the big data solutions
Keywords: Supply Chain Management, Information Systems, Big data, Analytics, Data Science.
Scope of the Article: Big Data Analytics