Diagnosing the decline in Pharmaceutical R&D efficiency - Published: 01 March 2012
Scientific and experimental data is fragmented and siloed across instruments, software systems, storage systems, and Contract Research Organizations (CRO) that are not interoperable.
Data is produced in heterogeneous formats that lack standards.
No standard workflow or interface across data systems to allow for easy integration and data flow.
Competitive landscape prevents existing players to launch vendor agnostic platform solution
Collecting, cleaning up, transferring and sharing data, while ensuring data integrity and compliance
Performing scientific data analysis
Prepare for Investigational New Drug (IND) filings and FDA inspection
Generate report for Quality Control (example: control charting, batch comparison)
Detect deviations in quality / batches / experimental methods to prevent delay in tech transfer, scale up, and even clinical trials
Gain insights across a fleet of instruments, R&D sites, over time and across distinct data sets from different measurements or analytical techniques