Data engineering and BI for the pharma teams that need trusted answers

D2Strategy is not a pharma research firm. We engineer the data foundations that store research, commercial, access, patient-services, and operational data; build the reporting and semantic layers on top; and help teams improve how analytics gets delivered. Our value is technical execution with deep life-sciences context: the pipelines, models, governance, and BI assets that let pharma teams stop reconciling spreadsheets and start acting on governed data.

From emerging biotech to Fortune 500 pharma

The operating model changes with scale, but the need for trusted data does not. Emerging and growing biopharma teams need fast, right-sized warehouse and reporting foundations that can survive launch, investor scrutiny, and vendor growth. Large pharma teams need governed metrics, durable platforms, and Power BI estates that hold up across brands, regions, agencies, and enterprise controls. We work at both ends of that spectrum and design early foundations so they can mature instead of being replaced.

• Emerging biotech: launch dashboards, first commercial data warehouse, core KPI definitions, vendor data intake, and scalable BI reporting
• Mid-size and specialty pharma: stronger data operations, market access reporting, sales force analytics, patient-services visibility, and governed metrics
• Fortune 500 pharma: enterprise semantic layers, cross-brand governance, platform modernization, AI-ready data foundations, and controlled reporting delivery
• Flexible delivery: we can augment internal analytics teams, own specific workstreams, or lead end-to-end warehouse and BI builds

Therapeutic-area depth

Therapeutic areas do not share one data model. Oncology, CGT, rare disease, vaccines, immunology, and specialty brands differ in patient volume, data sources, distribution channels, access pathways, and reporting cadence. We bring that context into the warehouse design, metric logic, and reporting layer, always framed as data engineering and analytics enablement for pharma teams.

Oncology

Oncology brands need reporting that can handle tumor types, biomarkers, lines of therapy, specialty distribution, and indication expansion. We connect fragmented oncology data into models that commercial, medical, and access teams can actually use.

• Biomarker, mutation, tumor-type, and testing-behavior data models for segmentation and targeting
• Patient-journey and line-of-therapy reporting across claims, EHR, lab, and specialty data
• Specialty pharmacy, distributor, and buy-and-bill reconciliation for demand and account visibility
• Launch and indication-expansion KPI dashboards in your BI platform of choice with governed patient, account, and market definitions

Cell & Gene Therapy

Cell and gene therapy analytics is measured in patients, centers, handoffs, and outcomes over time. We build the integrated data foundation that lets CGT teams see patient identification, treatment-center readiness, logistics, and follow-up as one connected operating picture.

• Ultra-rare patient-finding data assets using claims, EHR, referral, registry, and hub data
• Treatment-center network reporting for activation, qualification, throughput, geography, and capacity
• Vein-to-vein visibility across referral, apheresis, manufacturing, logistics, and infusion milestones
• Long-term follow-up and outcomes-based-contract reporting with small-cohort privacy controls

Rare & Orphan Disease

Rare-disease teams need analytics built for tiny, sensitive populations and long diagnostic journeys. We help them organize the data signals that support patient finding, access operations, and evidence reporting without pretending small cohorts behave like mass-market brands.

• Longitudinal claims and EHR models that surface likely diagnostic patterns for clinician decision support
• Diagnostic-odyssey reporting across specialists, tests, misdiagnoses, referrals, and time-to-diagnosis
• Registry and natural-history data integration for progression, endpoints, and unmet-need analysis
• Hub and patient-services reporting for enrollment, benefits verification, prior authorization, and time-to-therapy

Vaccines & Immunology

Vaccines and immunology brands need large-population analytics that reflect seasonality, public-health recommendations, channel complexity, and supply planning. We build the warehouses and reports that align demand, coverage, uptake, and inventory.

• Seasonal demand forecasting models that account for recommendation changes, uptake history, and competing formulations
• Retail, institutional, IDN, distributor, and public-sector channel data integrated into one demand view
• Immunization, claims, and administration reporting for coverage, uptake, and geography-level gap analysis
• Supply and inventory dashboards that connect forecast, allocation, and peak-season channel performance

Specialty Pharma

Specialty brands live in fragmented pharmacy, hub, distributor, payer, and patient-services data. We reconcile those feeds into governed reporting that shows where access, speed-to-therapy, adherence, and channel performance break down.

• Specialty pharmacy, hub, distributor, claims, payer, and formulary data integration with vendor-quality controls
• Prior authorization, benefits verification, appeals, step therapy, and time-to-therapy reporting
• Adherence and persistence analytics, including refill behavior and patient-support program impact
• Buy-and-bill versus pharmacy-benefit reporting for a single accurate view of demand and access

100+, unique life-science clients supported since 2016 with data warehousing, reporting, and analytics across commercial, access, sales, medical, and enterprise data teams

Whichever function you sit in: commercial, market access, sales operations, medical, R&D data, or IT, bring us the questions your teams need answered and we will show you what the data can support.