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Successful leaders have a gut instinct about how to hire, develop, motivate, and compensate new employees. They are also good at assembling employees into teams that are greater than the sum of their parts. But, increasingly, organizations are taking a more analytical approach to ensure these instincts actually work in practice.

Organizations are using big data, sourced from within and combined with sophisticated analyses, to guide strategic people-related decisions including recruitment, performance evaluation and management, promotion, development, job/team design, and compensation.

During this webcast, Dr. Burris discusses how organizations are using a people-analytical approach to compete and succeed in the marketplace.

Ethan Burris, Ph.D.

Management Professor at the McCombs School of Business and Director of the Center for Leadership and Ethics


Dr. Ethan Burris is a Department Chair in the Management Department, Professor of Management and the Chevron Centennial Fellow at the McCombs School of Business at the University of Texas at Austin.  He is also Director of the Center for Leadership and Ethics.  He earned his Ph.D. in Management from Cornell University and has served as a Visiting Scholar at Google and Microsoft. 

He teaches and consults on topics relating to leadership, people analytics, talent insights, managing power and politics, building engagement in groups and teams, social enterprise, and negotiations. Dr. Burris’ current research focuses on understanding “employee voice” – getting employees to candidly speak up about problems and opportunities for improvement. In particular, he has investigated how leaders shape employees’ decisions whether to speak up or stay silent and how these voice behaviors influence the performance of the employees who offer their input and the leaders and organizations who receive it.

Christopher Patton, Ph.D.

People Analytics Manager at Google and Adjunct Faculty at UT
Dr. Patton has been a people analyst in industry for almost six years, one year at PepsiCo, and almost five years at Google. During the last several years, he has taught classes in subjects such as Statistics, I-O Psychology, and People Analytics at Santa Clara University and the University of Texas at Austin.