Empowers users to quickly analyze operational processes across studies and sponsors from several pre-built operational data reports including key milestones, enrollment, site status, CRF performance metrics, and queries
Create dashboards summarizing information from views with over 40 different visualization options for presenting data
Create sophisticated machine learning and AI analysis sets in real-time, or simply create table listings and graphs in computing notebooks across many programming languages including SQL, Python, and R
Aggregate heterogeneous data sources and quickly combine, explore, and visualize data in real time across studies and across sponsors using interactive dashboards and over 40 different types of visualizations
Provide study teams with the flexibility to create reports using predefined fields or custom code such as HTML and JavaScript template engines