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As a growing number of businesses and organizations rush to unlock the value of massive amounts of data to derive high-value, actionable business insights via data analysis, they are also facing certain problems. Here are the most common problems that you’re likely to face when performing data analysis:

When you handle a small number of variables, you won’t have a lot of problems with a predominantly hand-driven process. But when you have limited time on your hands and several variables to deal with, manual feature selection could be a pain. When handling big data, data velocity and data variety too could be big problems in feature selection.

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