Trial enrollment vs target
Track recruitment pacing by site and cohort across active studies.
Ask AnalystIQ
“Enrollment rate vs target for each active Phase II trial, broken down by site, in the last 30 days.”
Industry
Pharma data is famously fragmented: CTMS for trials, safety databases for adverse events, CRM for HCP engagement, MES for manufacturing. AnalystIQ sits over that sprawl and lets clinical, commercial, and ops teams ask cross-system questions without filing a request with the analytics group.
Use cases
These are real prompts you'd type into AnalystIQ. Each runs against the data sources below and returns the chart or table that answers it.
Track recruitment pacing by site and cohort across active studies.
Ask AnalystIQ
“Enrollment rate vs target for each active Phase II trial, broken down by site, in the last 30 days.”
Spot emerging safety signals across product portfolio earlier.
Ask AnalystIQ
“Top 10 adverse event terms reported this quarter by product, compared to the same quarter last year.”
Tie rep activity to downstream prescribing behavior at HCP level.
Ask AnalystIQ
“For HCPs visited 3+ times last quarter, what was the change in their prescribing volume for our top product?”
Find the line/shift combinations driving deviation rates.
Ask AnalystIQ
“Average batch yield by manufacturing line and shift over the last 90 days, with deviation count.”
Phase-gate movement and timing across the development pipeline.
Ask AnalystIQ
“Number of compounds advancing through each phase gate over the past 4 quarters.”
Net price realization by payer and channel.
Ask AnalystIQ
“Average net price per prescription by payer segment for our launch product over the last 6 months.”
Where this data usually lives
Connect any combination. Each connector takes minutes; you scope every one to just the tables and fields you want exposed.
PostgreSQL
Available
Snowflake
Available
Salesforce
Coming soon
Google Analytics
Available
Microsoft Fabric
Available
Other industries