Datapoints are countless but useless without their context and proper methodology
Datapoints are countless but useless without their context and proper analysis methodology

da·ta·point

ˈdatəˌpoint,ˈdātə-/
noun
plural noun: data-points
  1. an identifiable element in a data set.
    “software that can quickly process tens of thousands of datapoints”

When you are a kid and you get a bag of sand to play with in the playground, you are happy. When you go to the beach and see this infinity of sand, you should be ecstatic.

The same apply to Lego™ bricks by the way…

Datapoints are the same infinitesimal unit. The atom of information. Datapoints start to make sense only when you aggregate them, when you fiddle them, when you rack your brain with them. Datapoints slowly start to release this scent of information that is precious to your business.

On one of Oplo’s projects, we processed 57,022,074,781,882,560 datapoints (that’s 57·1015 or 57 quadrillion) for only 1799 producers of data. By the time the projects get completely live, we will have 18,169 data producers and the volume of data they will produce is increasing at a projected rate of 16 every year.

Oplo has invested in a private cloud to analyze and forecast data growth.

Contact us to make sure your business is ready for this massive explosion of datapoints.

 

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