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Leaving Data on the Table: Data Scientists Reveal Obstacles to Big Data

The huge volume of Big Data produced by sensors, genomic sequencers, electronic exchanges, and connected devices continues to generate headlines but it’s the diverse types of data, not the volume, that’s a bigger challenge to data scientists and is causing them to “leave data on the table.”

According to a new survey by computational database company Paradigm4, nearly three-quarters of data scientists – 71 percent – said Big Data had made their analytics more difficult and data variety, not volume, was to blame. The survey also showed that 36 percent of data scientists say it takes too long to get insights because the data is too big to move to their analytics software. These issues cause data scientists to omit data from analyses and prevent them from maximizing the value of their work.

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