Big data, the end of optimisation?

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Until a few years ago the term Big Data was only known to a limited group of experts. Now it is nearly impossible to visit a website or read an article without stumbling across Big Data. A Google query results in over 1.5 billion hits in less than half a second, two years ago this was only one fifth of that number. Many times Big Data is positioned as the answer to everything. It is the end of theory as former Wired editor Chris Anderson wants us to belief. The promise of Big Data seems to imply that in the sheer size of data sets there lurks some kind of magic. Will it make Operations Research obsolete?

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Big Data The end of Optimisation

John Poppelaars Vesting Conference 2014

Big Data Analytics produces uncanny

accurate predictions

http://www.forbes.com/sites/kashmirhill/2012/02/16/how-target-figured-out-a-teen-girl-was-pregnant-before-her-father-did/

Big Data correlations tell us what we need to know

http://www.nature.com/nature/journal/v457/n7232/full/nature07634.html

Accurate predictions

Correlations suffice

No samples

No models

The Big Data Promise

90% of the data stored today did not exist two

years ago

Generally speaking there

are two types of data

Growing up to unlock the Big Data potential

Framing Data gathering &

Analyses Modelling & Calibration

Scenarios & Sensitivity

analysis

Communication &

Implementation

Analytics is not just a tool, it requires skill ,

competency & experience

How many Type I Errors does Target make?

Are Correlations all that matter?

Many more examples

Caution Correlation ≠ Causality

Do all observations tell the whole story?

Big Data implies N=All, but often is

a seductive illusion

http://www.bostonglobe.com/metro/2014/03/22/starts-stops/z04CiSdSdwbACUYqnvTPSL/story.html/

“ĉiuj modeloj estas erara sed iuj estas utilaj”

George Box

From

Data-rich

to

Decision-smart

The future is bright, it’s full of data

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