The cost to discover, manufacture, and market new chemicals – from drugs to industrial polymers – is rising. Finding the next molecule takes more time, more people, more data, and more money. Today’s research and development teams fight constraints like cost, speed to market, ecological impact, intellectual property – and data overload from the volume and variety of scientific and industry literature; paper lab notebooks, and lab inventory – multiplied manifold by the data produced by modern lab instruments. Big Data and analytics address the complete chemical manufacturing lifecycle, and the focus of this report is R&D/lab-stage technologies.
