RCA 2018 3rd Quarter Meeting: Workforce analytics: Unlocking the predictive power of your employee data

Workforce analytics: Unlocking the predictive power of your employee data

Organizations are beginning to understand the power of using workforce analytics to make evidence-based decisions about the management of their talent. An HR function will create a sustainable competitive advantage for the organization by developing the capability to create new insights and engage cross-function stakeholders by linking HR, financial, and operations data; identifying the unique drivers of key workforce outcomes to inform strategy design; developing workforce plans to proactively address future talent needs; and translating data and metrics into actionable, programmatic solutions for implementation. During this presentation, attendees will take away valuable information that will assist them in unlocking the predictive power of their employee data using workforce analytics.

Speaker - Ishita Sengupta, PhD,  Principal at Mercer

Ishita Sengupta is part of Mercer’s Workforce Strategy and Analytics practice in Washington D.C. She has 15 years of experience as a Labor economist. Her analytical research has been published in various labor journals over the years. At Mercer, she has worked on internal labor market analysis for Fortune 500 companies.  She is experienced in predictive modeling including pay equity analysis, turnover analysis and business impact modeling. She has directed research activities on comparing labor costs for firms across similar industry, has co-authored reports, published in journal articles and has been cited in the media. She has expertise in designing surveys and conducting survey interviews extensively.  She has liaised with advocacy, labor and business groups to ensure accuracy of her findings.  She has also testified in state senate hearings.  Before joining Mercer, Ishita worked in National Academy of Social Insurance for 11 years as Director of Workers’ Compensation.  She received her PhD degree in Economics from the University of Connecticut.

           Directions provided by Google Maps

View Larger Map