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featuring Inga Carboni, William & Mary School of Business
The fourth webinar in the “Network Analysis for Business Performance” series explores specific ways that predictive analytics can increase the impact of organizational network data on business results, including employee engagement, innovation, turnover, and the management of diversity and inclusion. Practical examples are provided to demonstrate how network data can be used to test ideas and generate actionable findings. The session provides learners with step-by-step instruction on how to conduct two of the most common types of inferential tests, as well as an overview of advanced predictive tools in Ucinet.
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