Data Outliers: 10 Ways To Prevent Big Data Damage - InformationWeek

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Data Management // Big Data Analytics
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4/18/2016
07:06 AM
Lisa Morgan
Lisa Morgan
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Data Outliers: 10 Ways To Prevent Big Data Damage

Most business decision-makers aren't trained to understand data outliers, but they can learn the basics. Executives, managers, and employees without math degrees can ask smarter questions about analyses they're basing crucial judgments on. Here are some things to know.
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Visualizations Can Help 

Outliers can be hard to detect just by looking at the numbers. Data visualizations can make them immediately obvious.  
'Visualizing data can make an outlier jump out at you,' said Greenberg. 'If you can see it, you can attempt to understand it. And if you can understand why an outlier is occurring, then you have the opportunity to learn from it and decide what you should do about it.' 
(Image: pix1861 via Pixabay)

Visualizations Can Help

Outliers can be hard to detect just by looking at the numbers. Data visualizations can make them immediately obvious.

"Visualizing data can make an outlier jump out at you," said Greenberg. "If you can see it, you can attempt to understand it. And if you can understand why an outlier is occurring, then you have the opportunity to learn from it and decide what you should do about it."

(Image: pix1861 via Pixabay)

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