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Guest Contributor |
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This is not a new idea, being several hundred years old. The key advance of the scientific revolution (and associated industrial revolution) was in order to understand something you had to measure it – that is gather the data.
The modern hoopla about “big data” is simply the scientific method applied to a wider range of problems. Doing this cheaply enough is the challenge.
While the idea of collecting the data is the most fundamental, it is not sufficient. Analysts need to make sense of the data. The field of statistics was developed well over a century ago to help do so, originally for kings so they could know how much tax they could raise (the word “statistics” shares etymology with “state”).
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