To better discover patterns and detect potential safety signals in adverse drug reactions, quickly upload, process, clean, and filter standard data files from the FDA Adverse Event Reporting System (FAERS). With Dataiku, data ingestion is automated, standardized, and audit-ready.

Easily process complex raw data and filter on demographic, drug, reaction, and report characteristics. Get analysis-ready signal surveillance and immediate insights into adverse drug reactions — helping teams act faster to protect patients.

Calculate common disproportionality metrics including relative odds ratios (ROR), proportional reporting ratio (PRR), and empirical Bayes geometric mean (EBGM) to understand the strength of drug-reaction associations and prioritize safety signals for review.
Explore the solution metric dashboard

Identify and visualize patterns in your safety data with the solution's descriptive analytics and charts. Get a complete picture of complex patterns and potential safety signals — making it easier to triage, prioritize, and act.
See safety report signals in action

Filter reports, generate cohort signals, and run drug/reaction analysis to detect dangerous interactions or drug misuse and discover potential off-label treatment for new diseases — all within a fully auditable, compliance-ready environment.
Explore disproportionality analysis in Dataiku

Gather signals from spontaneous reporting systems, set analytics-based alerts and easily push the resulting elements into case management systems for investigation.
Check out the safety reports analytics dashboard

The Dataiku Solution for Pharmacovigilance helps answer a broad range of questions — from which drugs are associated with the highest adverse event rates, to how signals compare across demographic groups, to where regulatory reporting obligations may apply.
Read the documentation on Pharmacovigilance

With Dataiku, enhancing safety surveillance practices is just a starting point: quickly move from one use case to another, leveraging reusable datasets and components across the platform to build an end-to-end intelligent pharmacovigilance pipeline.