People have been using the four Vs (Volume, Velocity, Variety and Veracity) to describe big data, but all of the big data in the world is no good unless we can turn it into Value, the fifth V of big data.
IBM data scientists break big data into four dimensions: volume, variety, velocity and veracity. This infographic explains and gives examples of each.
For updated figures, please refer to the infographic Extracting business value from the 4 V's of big data.
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Putting a dollar value on data is a very tricky endeavor. Data is only as valuable as the business outcomes it makes possible, though the data itself is usually not the only factor responsible for those outcomes. Doug Laney of Gartner provides a good discussion here of the challenges in attaching a