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.
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Patrick Lewis's curator insight,
June 25, 2013 3:18 PM
When visual expression meets Big Data; a personal favourite #BIGDBN |
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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
3. From data to action