2016 Leading Edge Consortium
Over the past several years, the topic of talent analytics has enjoyed a tremendous increase in popular attention. New technologies for gathering data, new analytic methodologies, and new approaches for displaying and exploring data all create opportunities for organizational insight and influence. Combining these new approaches with solid grounding in organizational science drives powerful awareness and actions that can materially improve organizations.
The 12th annual Leading Edge Consortium, “Talent Analytics: Data Science to Drive People Decisions and Business Impact,” will showcase the power and promise of combining organizational science with new and emerging methods in data collection, analysis, and display to deliver game-changing insight for organizations.
Please join us in Atlanta October 21-22, 2016 as we explore the many facets of talent analytics.
The consortium includes breakfast and lunch on Friday and Saturday, breaks, and a reception on Thursday evening. Registration also includes access to all presentation materials from the event as well as the Resource Guide, a compilation of presenter references and citations to relevant articles, web pages, and publications on the topic of talent analytics.
Registration is $725, but the early registration fee of $645 is available to those registering on or before August 29, 2016. In order to ensure the highest quality experience for our attendees, registration will be limited. To avoid disappointment, we suggest you register promptly.
Cancellations received on or before October 13, 2016 are refundable minus a $150.00 administrative fee. No refunds shall be made after October 13, 2016. If you cannot attend, you may send a substitute. No shows are subject to forfeiture of the registration fee. Please email cancellation notices to Linda Lentz at email@example.com.
Alexis Fink, Intel Corporation - Chair
Rick Guzzo, Mercer
Hailey Herleman, IBM
Fred Oswald, Rice University - Science Advisor
Evan Sinar, Development Dimensions International (DDI)
Scott Tonidandel, Davidson College
"What's So Big About Big Data?" Read factsheet HERE.
View Information about Past Consortia HERE