Is Your Scientific Research Platform Helping You Make The Right Decisions?


Rich scientific data should produce and organize actionable results that drive scientifically sound decisions. Much of that data remains entombed in IT systems that block scientific outcomes. As a result, the quality, availability and usability of existing and new data is difficult to ascertain. IBM estimates that the cost of poor-quality data, in the US alone, is $ 3.1 trillion1, dramatically highlighting the need for modern research technology to enable R&D scientists engaged in a make- test- decide workflows for chemical and biological entities.

In this webinar, Dr. David Gosalvez presents use cases of improved R&D productivity and efficiency in three critical areas: Lead Discovery, Screening and capturing experimental data. See how scientists can process, find and most importantly understand critical data across R&D workflows.