Services · 03

Patient & Market Analytics

Commercial organisations that rely on intuition and lagging sales data to make decisions are consistently outperformed by those with strong analytics infrastructure. The challenge in pharma is rarely a lack of data — it is the ability to convert fragmented data assets into insight that is specific, timely, and actionable at the brand and field level.

What we do

We help pharma teams build the analytics capabilities, patient-level understanding, and market intelligence that support confident, fast commercial decisions — from strategic planning through to in-market performance management. Our work draws on claims data, EMR data, specialty data, and primary research, synthesised with deep commercial context.

Specific offerings

Patient Analytics & Journey Mapping

We map how patients move from symptom to diagnosis to treatment — identifying diagnostic delays, treatment gaps, and drop-off points that represent both commercial opportunity and patient outcome risks. Analysis draws on real-world claims and EMR data, validated with primary research where needed.

Patient Finder & Activation Analytics

Finding the right patients at the right time is critical in specialty and rare disease. We design patient finder models that identify HCPs treating patients of interest, accurately size treatable populations, and inform field prioritisation and hub engagement strategies.

Real-World Data Strategy & Analysis

We design and execute commercial analyses on claims, EMR, and specialty data — including source-of-business analysis, treatment pattern assessments, persistency and adherence studies, and outcomes analyses that support both commercial and payer-facing objectives.

Forecasting & Scenario Modelling

We build market sizing, brand forecasting, and scenario analysis frameworks that support investment decisions, BD&L evaluations, and board presentations. Work spans epidemiology-based forecasting for novel assets through to in-market brand forecasts with promotional response modelling.

Commercial Performance Dashboards

We design and implement the performance monitoring infrastructure that gives brand teams and sales leadership a single, reliable view of what is working — integrating sales, field activity, market access, and patient-level data into dashboards built for decision speed, not reporting compliance.

Competitive Intelligence

Continuous monitoring and structured analysis of the competitive landscape — including pipeline tracking, promotional activity assessment, payer coverage benchmarking, and scientific communication analysis — structured as an ongoing intelligence function rather than a periodic research exercise.

Market Research Design & Synthesis

We design and manage primary research programmes across HCP, patient, and payer audiences — qualitative and quantitative — and synthesise findings into commercial recommendations rather than slide decks of verbatim quotes.

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AI-enabled capability

Machine learning models applied to claims and EMR data to identify undiagnosed or undertreated patient populations; NLP-based monitoring of scientific literature, conference abstracts, and regulatory filings for competitive intelligence; automated anomaly detection in commercial performance data to surface issues before they appear in lagging sales metrics.

Related case study
Patient & Market Analytics

Revamping Legacy Analytics for a Major Pharmaceutical Company

Context

A large pharma commercial team was operating on a fragmented legacy analytics infrastructure — disparate data sources, slow reporting cycles, and limited ability to integrate patient-level insights with field performance data. The commercial organisation was data-rich but insight-poor.

Approach

We led a full analytics modernisation programme — rearchitecting the data infrastructure, consolidating sources into a governed commercial data asset, rebuilding the reporting layer with role-specific dashboards, and introducing patient-level analytics capabilities including journey mapping and source-of-business analysis.

Outcome

The new infrastructure reduced reporting cycle time significantly, gave brand and field leadership real-time performance visibility, and unlocked patient-level analytics that directly informed targeting redesign and market access strategy.

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