8 Value in big data can be viewed as a constraint because it can be challenging to derive a benefit from analytics that is worth the investment time and cost to accommodate the other factors. 3 The big data five Vs are commonly phrased as high volume, 4 complex variety, 5 large velocity, 6 strategic value, 7 and more recently veracity. Scholars already know about the major challenges faced by big data analytics practitioners across all disciplines which are described as the five Vs 1, 2 or sometimes more.
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