The perception that big data is still incredibly complex to understand is right on the money. There are examples of how the complexity is getting abstracted. But still, even when I talk to data scientists they will say how they are still mastering the tools to simply show data in something besides a spreadsheet.

Marck Vaisman, a freelance data scientist, said in an interview that the issue for most everyone is as much about the technology’s complexity as it is about the people who are trying to figure out what to do. Too often, only a few people actually understand how to use the data that they have. And their ability to explain it is limited. Further, there are few organizations that take holistic approaches to doing data analytics, leaving instead a fragmented array of projects that have differing approaches and overlap and do little to provide value.

Pitfalls abound…

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