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How Big Data is relevant to commodity markets

Posted on 20 March 2014

Everyday we generate enormous amounts of data through transactions in commodity markets. There have been many estimates of the quantity of data generated, the great hype of Big Data in 2014, and how firms should be investing in this area.
I want to take you through the example below and elaborate my perspective on Big Data in relation to commodity markets. Example: Let us consider the case of ethanol production, merchandising, and consumption. Ethanol can be produced petro-chemically or from agricultural feedstock, such as sugar or corn. The decision to produce ethanol is determined by two factors – revenues and costs of the ethanol business………………………………………..Full Article: Source


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VRS - who has written 39456 posts on Opalesque Commodities Briefing.


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