Data silos continue to plague leading life science companies, limiting the availability of data, information, and knowledge to reduce risk in strategic decision making. Growing collaborations promise to make the problem worse.
Goals and Objectives
By bringing curated, high-quality data together, it becomes possible to leverage prior efforts, avoid pitfalls already overcome, and work smarter.
- Secure clouds
- Automated workflows to streamline data integration
- Predictive analytics
- HPC to enable evaluation of large and complex data sets
- NLP to extract value from unstructured fields
Use Case Summary
There is a wealth of value that remains unused because of the inability to leverage data from completed clinical trials. Bringing this data into new trial planning and study analytics is key to proper trial design, avoiding trial pitfalls, and finding the most efficient path to success.