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AnalogIQ extends your existing Datamonitor Healthcare access into analog selection. Identify the right comparators, document your rationale, and defend your assumptions, using patient-based forecasts enhanced with real-world data, so you can walk into any governance review with assumptions you can stand behind.
AnalogIQ is available as an add-on to your existing Datamonitor Healthcare subscription. Your team gets access to 1,000+ analogs using the same patient-based data you already use, with outputs that are consistent with your existing models.
Analogs covered
Indications
Attribute filters
Most teams choose analogs using internal libraries, consulting work, or historical precedent. The result is a process that varies by team, is hard to repeat, and relies on methodology that is difficult to explain to stakeholders. When governance comes around, those assumptions get picked apart.
Fragmented data
Analog sources are scattered across internal tools, external research, and team memory — with no single source of truth.
Opaque methodology
Selection rationale lives in email threads or presentation footnotes. When governance asks why, the answer is rarely ready.
Hard to repeat
Every forecast cycle starts from scratch. Without a repeatable process, consistency across assets and teams is almost impossible.
Governance prep
Pull comparable analogs, compare uptake trajectories, and document selection rationale before a review cycle.
Pressure-testing assumptions
Run alternative analog sets to sense-check base case assumptions and explore upside and downside scenarios.
New indication validation
Identify the most relevant historical comparators across 65+ indications when expanding into a new therapy area.
Filter across 1,000+ analogs using 40+ clinical, commercial, and market access attributes. Results update in real time as you adjust filters.
Visualise and compare uptake trajectories across your chosen analog set. Understand what real patient adoption has looked like for comparable assets.
A one-click methodology section documents exactly how analogs were scored and ranked. No black box — stakeholders can see the logic behind every selection.
Built on Datamonitor Healthcare’s patient-based forecasts, enhanced with real-world data across the Norstella data ecosystem. Consistent with the data your team already uses.
Build defensible scenarios
Build defensible base, upside, and downside scenarios with a repeatable analog selection process.
Assess asset potential quickly
Assess asset potential quickly using historical uptake benchmarks before entering partnership or licensing conversations.
Set realistic launch expectations
Understand realistic launch trajectories and peak share ranges for pipeline assets across indications.
Request a demo and we’ll show you how AnalogIQ works with a live example from your therapy area.
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