At IQNavigator, we see a need for innovative, data-based approaches to optimizing contingent labor and SOW management. We also see a need to bring together business experts, data scientists, application developers, and big-data technologists to consider this: How can we exploit the vast data reserves we’ve collected to help companies find and manage the best talent available in a cost-effective manner?
Because of the need for creative, innovative, rigorous scientific approaches, we’ve launched an innovation lab, IQN Labs, which provides a forum for collaborative data-driven innovation. We’re working with the smartest people at the smartest businesses to:
Along the way, IQN’s data scientist, Anne Zelenka, will share ideas about how data science and big-data technologies can promote a new era of effective contingent workforce management based on the creative and innovative use of data resources. She’ll also tell you about some of the early results from our experiments at IQN Labs.