Analytics are needed to make use of big data. That's no news. But the importance of analytics can be fully appreciated when you consider its the beginning, not the aim of big data usefulness. Big data is characterized first by volume. Tremendous volume. That's usually the thing people think of first. It's also characterized by velocity, which is marked by real time. Much big data is real time data. High velocity calls for fast analysis. Finally there's variety. Some big data is structured and a lot is not. Classification is critical to further analysis.
So big data in itself is not particularly useful. The three - v attributes must be addressed first, and then the real use analysis can begin. For more, check it out.
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