Beating addiction with Big Data

In a previous post, I wrote about the various applications of big data insights in the gambling industry, from tailored marketing initiatives to odds calculation. However, the very same data used to great commercial effect by gambling companies could have another utility: protecting customers from addiction. Gambling brands are under increasing pressure to either relinquish […]

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Normal Distribution Curve

CellPhone_BellCurve_Normal_Distribution_Big_Data

Perhaps the most famous and widely used distribution is the normal distribution, otherwise known as the “bell curve.” The reason why the bell curve crops up a lot is because when you have a bunch of independent, complex, real-world factors added together that produce randomly distributed data, that data will often be distributed in a normal or bell-like way. This is called the central limit theorem.

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Optimization Modeling: Because That Fresh Squeezed Orange Juice Ain’t Gonna Squeeze Itself

OptimizationModeling

When you were a child, perhaps there came that day when someone explained to you that Santa Claus didn’t exist, outside of men with bad rosacea dressed up at the mall.

Well, today I’m going to shatter another belief: your not-from-concentrate premium orange juice was not hand squeezed. In fact, the pulp in it is probably from different oranges than the juice, and the juice has been pulled from different vats and blended according to mathematical models to ensure that each carafe you drink tastes the same as the last.

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Consilient Data in the Next Phase of Data

Consilience

In this modern (Big Data), connected (Smartphones), advertising ridden (Facebook, Twitter, Google) world, where the Internet of Things means devices from your watch and fridge to your thermostat and house plants spit out data, the challenge of bringing data together to a valuable end will become increasingly difficult unless this data is consilient. Here I explain what consilience means for data and discuss its benefits.

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