Increasing Productivity In Pharma R&D Starts With Data

This article discusses the growing volume of raw data collected during clinical research, and how transforming the mountain of data into clinical and safety insights is an industry-wide challenge. As the volume and variety of research data continues to grow, it is increasingly difficult to transform it into knowledge for timely decision-making because it is often produced from different source systems that do not share a common standard. Unifying and cleaning data to enable comprehensive analyses is a problem that often slows down the R&D engine. Turning the waterfall of data into one coherent stream is a fundamental and necessary step researchers must take before they analyze it for key decisions, including continuing programs or pivoting resources and submitting it to regulators for review and approvals.