Shorting of Oil was modeled here! Insights from Analytics

From a Sunday afternoon conversation with a banker and decided to tweet after that.

Here is a tweet on connecting seemingly disconnected data into insights from analytics. A framework I’ve developed over a long time.  Was advising a few investment folks of the opportunity to short an asset class. Compute the data if you made the investment on a trade. This is the power of insight from analytics via unstructured data.

If you were a commodity trader, a company dependent on oil futures, an investor or a producer, these insights are potentially worth billions. Every $0.10 cents matters. This is a proprietary framework.

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Oil prices fall after Iran agrees nuclear deal
25 November 2013 Last updated at 13:29 GMT


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Why is insights from seemingly disconnected data produce analytics and then insights that HUMINT can model, interpret and action next steps on. This could be the only way to stay ahead of the game from commodity trading and ecommerce to governance and national security.  The IARPA project is a great example of that.

Brazil Riots Predicted by U.S. Intelligence Research Project
A research project funded by U.S. intelligence agencies said it predicted last weekend’s riots in Brazil by analyzing tweets and other kinds of data.

Introduction: The Science of Networks
“In short,” says the National Research Council, “network science consists of the study of network representations of physical, biological, and social phenomena, leading to predictive models of these phenomena.”

Bottomline. Big Data is traffic flow and density. The key is the insights from analytics via omni-channel unstructured data streams. That is ROI.

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