By combining all the data generated in clinical trials we are able to gain deeper insights for a pro-active study management.
We combine data from various sources such as the eCRF, eTMF, eISF or CTMS and other systems we are currently using, into a single giant data lake.
From this data lake a dedicated software powered by SAS Viya pulls the data required for cross-sectional analytics, uses a data model for advanced analytics and visualization, and provides the study- or data manager with the requested information.
Using Advances Analytics in clinical trials, can benefit the study conduction in numerous ways:
 |
Reduce the intensive human labor activity |
 |
Provide a complete picture of trial data in real-time, to get visibility into the trial | |
 |
Provide deeper insights to make better decisions more quickly, effectively and easily by comparing data across multiple platforms |  |
Enable easier and faster comparative analysis for pro-active study manage-ment and risk-detection | |
 |
Increase data quality |  |
Save cost and time |
