
Big Data in the Field of Logistics: A Retrospective Manner to Resolve
Author(s) -
Himani Sivaraman,
Amit Gupta,
Omdeep Gupta
Publication year - 2020
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.f1002.1186s419
Subject(s) - big data , upgrade , profitability index , computer science , field (mathematics) , excellence , data science , supply chain , path (computing) , operational excellence , term (time) , marketing , business , data mining , finance , political science , physics , mathematics , quantum mechanics , pure mathematics , law , programming language , operating system
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