GSK and NUS to Drive Better Efficiencies Using Predictive Modeling

In the recent years, GlaxoSmithKline (GSK) has started to explore how data and analytics can be used across the organization to drive better efficiencies. Through the Singapore Data Science Consortium, GSK is now working with researchers from the Institute of Data Science at NUS to develop predictive models to offer greater and more accurate insights; with the ultimate aim of having a better understanding of its customers.

Project Title: Increasing the Competitiveness of CEP
Done By: GlaxoSmithKline Pte Ltd, National University of Singapore
Contact Person: Dr. Zhang Zhen, Data Scientist, SDSC

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