Track: Data Analytics

Abstract

This research studies the attitude and readiness of big data business analytics by means of a survey research with a total of 500 usable responses, with respect to STEM (science, technology, engineering, and mathematics) related issues that are essential and fundamental to skills relevant to big data business analytics. Business analytics makes extensive use of data, including data mining, statistical analysis, quantitative modeling, and explanatory and predictive analytics, to help make actionable decisions and to improve business operations. According to McKinsey & Company, the projected demand for deep business analytical positions could exceed the supply produced with the current trend by 140,000 to 190,000 positions, in addition to the projected need of 1.5 million managers and analysts in dealing with big data business analytics in the United States. Increasingly, top thinkers in academia and business believe that business analytics, especially analytics connected with big data, is going to be a driving force in our economy and society in the next 10 to 20 years. We found that there is a statistically significant correlation between STEM interests and critical skills in big data business analytics, which is a natural step forward to filling in the talent gap.