Building a strong data analytics pipeline. What should you outsource?


Much of the modern economy runs on fuel. Much of the future economy will run on data. In this analogy, data is the oil and analytics is the gasoline. Given this data economy, how do you build a strong data analytics pipeline of your own? Should you build your own refinery or should you buy gasoline direct? Simply put, does it make sense to outsource or not?

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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.