Data is really only valuable if you can translate it into actionable insights. Here, we lay out the framework for how businesses can put these insights to work to drive business goals.
Luca Naso's insight:
In 1910, Scottish writer and poet Andrew Lang said, "He uses statistics as a drunken man uses lampposts—for support rather than illumination." Decades later, many modern businesses still do just that, using data to support rather than drive their decisions.
Here you can find some simple suggestions on how to create a method that can help you to make sense out of your data (whatever their size):
1. Defining the data - easy and simple: do not neglect
2. Building the framework - the most difficult part: sketch, prepare and visualise
Scientists and engineers are employing new computational techniques and algorithms to make sense of Big Data, but sometimes, to gain significant insights from data, you have to *see* it — and as the data become increasingly complex and bountiful, traditional bar graphs and scatter plots just won’t do.
Luca Naso's insight:
Big Data is everywhere and everyone is interested in Big Data. Businesses, Governments, Health, Science, they all look at Big Data as a way to dramatically improve.
A key point in extracting meaning out of Big Data is visualisation. In this very interesting article data visualisation is presented in an innovative way. Traditionally plots, charts and other visualisation tools tend to be as simple as possible to use and to see. Data visualization should be revelatory instead of just reductionist — not simply a way to convey information or find answers, but to generate and cultivate questions.
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