Nonclinical scientists in drug development have volumes of data to analyze and interpret. Visualization is a key tool in their toolbox, allowing for the detection of signals and outliers. SEND datasets are ideal for powering these visualizations. Learn how to turn this regulatory dataset into a engine for internal decision-making with SEND Explorer.

Key learning objectives:

• Accelerate decisions with clear, accessible data, enabling faster, more informed decision-making
• Seamlessly analyze and interpret SEND data as new datasets become available in real time
• Enable collaboration across teams by presenting complex data in a user-friendly, visual format