In data-driven clinical research, ensuring data integrity, consistency, and compliance is a persistent challenge. Organizations acquiring or licensing diverse data assets often struggle with inconsistent formats, structural discrepancies, large-scale processing inefficiencies, and regulatory compliance risks.
Don’t miss our live demo, where we’ll walk through the entire workflow using publicly available datasets.
In data-driven clinical research, ensuring data integrity, consistency, and compliance is a persistent challenge. Organizations acquiring or licensing diverse data assets often struggle with inconsistent formats, structural discrepancies, large-scale processing inefficiencies, and regulatory compliance risks.
Don’t miss our live demo, where we’ll walk through the entire workflow using publicly available datasets.
Scaling clinico-genomic data integration: Large pharmaceutical organizations working with external data providers used Polly to build interoperable clinico-genomic data products 6x faster.
Although purchased datasets are often labeled as "clean," they still lack interoperability—Polly's pipelines bridge this gap with robust integration and harmonization.
Information Retrieval: Drug safety monitoring teams used Polly's Knowledge Graph powered co-scientist to conversationally retrieve the right cohorts & assess drug response—cutting discovery time by 70%.
Join our experts, as they discuss strategies to ensure high-quality data at scale.