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BLOG: Making sense of Big Data without a data scientist in sight

Anukool Lakhina, CEO of Guavus | Feb. 15, 2013
Business analysts, not data scientists are the key staff

The future's not as far away as you think...
Increasingly, enterprises are starting to demand new, easy-to-use Big Data applications that remove the complexity for the average business person. Recently, John Ginder, the Big Data analytics leader at Ford Motor Co, bemoaned the fact that there are still very few turn-key tools to help big companies do Big Data. 

He explained that his group mostly relies on open source tools, like Hadoop, for managing large sets of data and that while these tools are powerful, they require highly skilled professionals to operate them. He dreams of a world where even the most non-technical business analysts can use Big Data tools to ask the right questions and make the best decisions, where data specialists-but not computer scientists-could go in and interrogate it and look for correlations that they might not have been able to look at before.

In reality, we may be closer than Mr. Ginder thinks. There is already a movement afoot to create Big Data solutions that empower all users to make timely, intelligent, data-driven decisions by dramatically reducing the complexity of analytical applications.

If Big Data is to reach its full potential, it has to be as easy and intuitive as surfing the Web. We need powerful visualisation tools that can continuously do the analytics and then display insights through intuitive graphical dashboards that make decision making a snap. There's no doubt Big Data holds the key to transformational business change, but to extract its full benefits, we must find solutions that make data insights available for all.



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