Governed reporting for pharma teams that need one defensible answer
We build governed dashboards across Power BI, Tableau, Qlik, and MicroStrategy, plus governed metrics layers and self-service analytics for life-sciences teams, with deepest strength in commercial analytics, market access, and sales force reporting.
See it working, not screenshots
A live commercial-analytics sample app, built the way we build for clients. Explore it right here.
Most pharma organizations are not short on dashboards. They are short on trusted answers. Sales arrive from syndicated feeds, field activity from Salesforce or Veeva CRM, claims from contracted data partners, payer coverage from managed-market sources, and finance logic from rebate and gross-to-net models. When every team calculates TRx, NRx, reach, attainment, pull-through, or net revenue differently, business reviews become reconciliation exercises.
D2Strategy engineers the reporting layer that stops that cycle. We connect the data, define the metrics once, and deliver governed Power BI and analytics experiences that brand, market access, sales operations, finance, and leadership teams can use without second-guessing the source. We build the warehouses, reporting models, dashboards, and analytics capability that make the data your teams already generate useful.
The reporting and analytics service
Governed BI dashboards
Executive, brand, access, field, finance, and operations dashboards designed around decisions, not chart count, with drill-through, security, refresh controls, and performance tuned for real use.
Certified metrics layer
A governed semantic model where KPI definitions, business rules, and hierarchy logic are applied once, so reports, exports, and AI-assisted answers stay consistent.
Self-service enablement
Curated datasets, role-based access, reusable measures, documentation, and training so analysts and business users can explore safely without creating shadow definitions.
Modern data foundations
Snowflake, Databricks, Microsoft Fabric, and SQL-based reporting layers built for pharma data volumes, restatements, identity matching, and governed consumption.
Natural-language analytics
Conversational analytics grounded in governed definitions and source metadata, so a plain-English question returns a traceable answer instead of an ungoverned guess.
Automated dashboard builds
Accelerated Power BI model and report delivery using automation, GitHub Copilot, and the Power BI Modeling MCP server, with expert review and governed release control.
Learn moreThe BI platforms we build on
We are tool-fluent, not tool-locked. Our teams design, build, migrate, and manage dashboards and semantic models across the four enterprise BI platforms pharma runs on, and we recommend the one that fits your stack, not the one we prefer.
Commercial & market access reporting
Commercial reporting is where D2Strategy is strongest. We build integrated reporting across brand performance, patient and HCP analytics, payer access, gross-to-net, rebates, and field execution, especially for oncology, specialty, and biopharma brands. The value comes from seeing the commercial system together: demand, access, affordability, territory potential, field activity, and patient flow aligned in one governed model.
Core commercial reporting domains
Commercial performance
Brand demand, TRx and NRx, market share, launch tracking, channel performance, omnichannel engagement, and competitive movement reconciled across syndicated, claims, and internal sources.
Market access & formulary
Plan and PBM coverage, tier and restriction reporting, access-to-prescribing conversion, pull-through, covered lives, affordability friction, and payer-level performance views.
Gross-to-net & rebates
Rebate, chargeback, fee, copay, 340B, and government-pricing inputs brought into auditable waterfall, accrual, forecast, and contract-performance reporting.
Payer analytics
Payer, PBM, plan, book-of-business, and territory reporting that links coverage, utilization, prescription movement, and net revenue impact for access and finance teams.
Sales force & field effectiveness
Salesforce and Veeva CRM data integrated with sales, territory, target, alignment, call plan, sampling, reach and frequency, attainment, and incentive-compensation reporting.
Patient & HCP analytics
Prescriber segmentation, patient journey, referral-to-fill, prior authorization aging, adherence, persistence, referral networks, and next-best-action signals delivered into governed reporting.
Sales force analytics, built into the workflow
A field force is one of the largest controllable investments a brand makes. We make the connection between effort and outcome visible. That means syndicated sales aligned to the right territory and rep, CRM activity tied to prescribing movement, targets scored by potential and access reality, call plans measured against reach and frequency, and incentive calculations that reps and managers can trust.
- Territory alignment, force sizing, workload, disruption, and deployment scenario reporting
- Call planning, target lists, pre-call priorities, reach and frequency, and channel-mix analytics
- Field activity, sampling, approved email, virtual engagement, and outcome reporting from Salesforce or Veeva CRM
- Goal, quota, crediting, payout, dispute, and attainment dashboards for incentive compensation operations
- Manager and rep views embedded into the tools the field already uses, with role-based security
R&D data and operations reporting
We also report on the data your research, clinical, safety, quality, supply-chain, and back-office operations produce. Our lane is the data, reporting, and analytics layer; we partner with your research and medical teams rather than replacing them. We engineer the data models, KPI layers, dashboards, and controlled reporting that help functional teams run the work, monitor risk, and answer operational questions faster.
Additional reporting coverage
Clinical operations KPIs
Enrollment, screen failure, site performance, query aging, data quality, risk indicators, and portfolio reporting from EDC, CTMS, IRT, lab, and operational systems.
RWE datasets & evidence operations
Claims, EHR, registry, and OMOP-aligned data assets made reportable through cohort counts, treatment patterns, outcomes views, refresh controls, and data-quality checks.
Safety and compliance reporting
Case volumes, signal-detection outputs, submission timeliness, deviation, CAPA, change-control, audit observation, DSCSA, and inspection-readiness dashboards.
Supply chain and operations
Inventory health, days on hand, stockout and expiry risk, cold-chain exceptions, service levels, S&OP inputs, procurement, FP&A, HR, and IT reporting.
How we build it
We start with the business decisions and the definitions behind them, then work backward into the source systems, data quality rules, identity resolution, security model, refresh cadence, and release process. In pharma, that usually means handling restated syndicated data, HCP and HCO matching, contracted-use data, payer hierarchies, territory histories, rebate logic, patient-status codes, and regulated operational records without letting reporting become fragile.
- KPI framework workshops to align commercial, access, sales operations, finance, and functional stakeholders
- Data warehouse and reporting models on Snowflake, Databricks, Microsoft Fabric, SQL Server, and related platforms
- Certified semantic models across your BI platforms, with governed measures, hierarchies, row-level security, and change control
- Dashboards designed for executive reviews, brand teams, access teams, field managers, analysts, and operational owners
- Data-quality checks, reconciliation reports, lineage, documentation, and adoption support so the capability lasts after launch
Representative use case
A specialty manufacturer was running weekly commercial reviews from manually merged spreadsheets. Brand, access, finance, and sales operations each had a different version of demand, coverage, field activity, and net revenue. We built a governed commercial reporting layer over syndicated sales, claims, formulary, gross-to-net, specialty pharmacy, and CRM data, then delivered role-based Power BI dashboards for executives, brand leads, access teams, and field managers. Weekly report assembly dropped from roughly three days to under an hour, and the review shifted from debating whose number was right to deciding where to act. Drawn from a real engagement. Data and metrics shown are synthetic to protect client confidentiality.
~70%, reduction in analyst time spent assembling recurring commercial reporting
Since 2016, a decade of governed analytics and BI delivery for life-sciences organizations
Get one version of commercial truth
Bring us the dashboard everyone argues about. We will show you how a governed metrics layer ends the debate.