Available in 2 formats: MP3 Download: $12 / Compact Disc: $15
Quantitative analysis points in a direction, but with machine-learning text analytics, firms like Marsh Inc. are finding new ways to leverage current and historic survey data. The efficiency of new text analytic processes helps get to core issues more quickly, while creating re-usable, scalable, and increasingly valuable topic and sentiment models. Texifter provides web-based text analytics as part of their employee engagement program. The goal is to provide specific, actionable insights from open-ended survey answers. In this session you'll find out how Marsh used this leading edge technology to enhance their understanding of employee engagement.
Stuart Shulman, Ph.D., President & CEO, Texifter, LLC, is an Assistant Professor of Political Science at the University of Massachusetts Amherst. He is the Director of the Qualitative Data Analysis Program.
Christina Harris, Vice President, Human Capital Performance, Marsh, focuses on measuring and increasing colleague engagement to drive business performance, developing the enterprise Human Capital strategy, and improving collaborative communication among the 24,000 colleagues globally. She also manages an innovative, experiential learning based social media blogging program.