Written by Tamr
Unify messy clinical data into standard CDISC models
From designing better trials to spotting successful (or failed) outcomes earlier in the drug development process, having unified views of your clinical research data comprises a critical part of the modern R&D landscape for life sciences companies. However, companies often fail to maintain unified views because data is stored in legacy formats, was acquired via M&A activity, or originated from disparate external sources with their own specific data standards. These challenges can easily result in hundreds (or thousands) of studies being inaccessible to their scientists—a situation referred to as having large data debt.
Tamr’s CDISC Conversion Solution tackles data challenges with a powerful data harmonization process, driven by human-guided machine learning that can replace traditional in-house tools prone to delays and errors.
To read more about Tamr’s CDISC Conversion Solution, download our overview here.