CEOs across sectors and industries are concerned about the rapidly growing need for employees with skills in Science, Technology, Engineering and Mathematics (STEM). By 2018, there is expected to be a shortage of 230,000 STEM employees, which presents a strategic challenge for the US companies and the US economy. To explore these challenges, STEMconnector®, a leading organization for STEM education and careers, released a first-of-its-kind publication of “100 CEO Leaders in STEM,” presenting 100 corporate CEO profiles, including their thought provoking views on the future of our national competitiveness and need for a STEM workforce.
TCS’ Connected Marketing Solutions team carried out an in-depth analysis, using its Voice of Customer Analytics (VoCA) solution to mine and analyze the CEOs’ responses, revealing insights into trends, challenges and recommended solutions.
Each CEO was presented with 20 questions relating to STEM challenges and issues and was encouraged to answer 5 to 8 questions of their choice. The complete responses were published in STEMconnector®’s “100 CEO Leaders in STEM,” in June, 2013.
Read Press Release: 100 CEOs’ Top Five Commitments to Bridge US STEM Skills Gap
TCS' Analysis and Methodology using its Voice of Customer Analytics (VoCA) Platform:
TCS, an industry leader in business analytics and intelligence, used its Connected Marketing Solution’s Voice of Customer Analytics (VoCA) Platform to analyze the responses of the CEOs of 100 leading companies across the US. VoCA churns out trends, sentiments, predictive and actionable insights from ad-hoc or unstructured data sources. TCS’ Connected Marketing Solutions team, in coordination with STEMconnector, prepared a taxonomy to categorize the answers into various sectors. VoCA's text-mining algorithms used this taxonomy to analyze each response, slot responses into categories, and extract key phrases, themes and opinions at the various levels - first for each response, then for the entire set of responses to a given question, and finally for the entire questionnaire. On the basis of the taxonomy and specific text-mining algorithms, VoCA revealed key themes and phrases, and common concerns and opinions. The system then identified patterns across the entire data set, extracted metrics and graphically summarized overall findings.
In this white paper, we present the findings of TCS’ analysis.