3 things that feedback analytics must learn from business intelligence

August 10, 2016 by Dr. Jian Huang

Businesses of all shapes and sizes are increasing their use of data to reveal insights and drive decisions. No matter the source of the data – IoT sensors, predictive computer models, electronic transactions, human feedback, or other; there is a rapidly expanding need for a faster, more extensive, and more thorough view of what is happening, the causes, what to do about it, and why.

**The data analytics community is facing an opportunity of a lifetime.**

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Jian Huang is the Chief Executive Officer at Survature providing the vision for reinventing the way the world experiences surveys. He is a professor of computer science at the University of Tennessee (UT) researching data analysis, visualization, and human-computer interaction. His research has received funding from the National Science Foundation, the US Department of Energy, the US Department of Interior, Intel, NASA, and UT-Battelle. Jian received his PhD from the Ohio State University.