Turn complex life-science data into decisions that move the business.
D2Strategy builds governed data foundations, BI dashboards, advanced analytics, and AI-enabled workflows for commercial, market access, medical, R&D, and operations teams.
Core ways to put life-science data to work
Small and agile, we combine senior analytics strategy with hands-on data engineering, BI, AI, and managed delivery.
AI Consulting
Custom agents, RAG, LLMOps, and AI-ready data foundations built for regulated life-science teams.
Learn moreManaged Analytics Services
Embedded analytics teams that operate as your own: refreshes, enhancements, insight generation, and stakeholder support.
Learn moreProject-Based BI Solutions
Data engineering, warehousing, dashboards, advanced analytics, and AI initiatives scoped around a concrete business outcome.
Learn moreFlexible Staff Augmentation
On-demand access to platform-certified data engineers, BI developers, analysts, and data scientists who understand life sciences.
Learn moreWhat our AI consulting covers
From governed data foundations to agent engineering and LLMOps, we build the layers that make AI actually work in regulated life-science environments.
AI-Ready Data Warehouses
Lakehouse foundations engineered so AI agents and RAG can query governed, vectorized, lineage-tracked data.
Learn moreRAG-as-a-Service
Governed knowledge assistants grounded in your approved content, with citations, guardrails, and MLR review.
Learn moreAutomated BI Development
Governed dashboards auto-built with an MCP server + GitHub Copilot, validated by human review.
Learn moreAI Agent Engineering
Human-in-the-loop agents for regulated workflows, orchestration, tool use, evals, and audit trails.
Learn moreAI Enablement & LLMOps
Evals, guardrails, observability, and model governance that make GenAI production-grade.
Learn moreThree connected AI products for pharma teams
Measure how AI sees your brand with D2 Intelligence, simulate what to do about it with D2 Foresight, and coach the field to deliver it with D2 Coach.
D2 Intelligence
Know how AI sees your brand, audit how AI assistants select, trust, and cite your content.
Learn moreD2 Coach
A virtual AI coach, the AI plays the doctor, reps practice the conversation and get coached after every call.
Learn moreReporting depth across pharma functions
From R&D through commercial, market access, patient programs, and operations, governed analytics tied to measurable business outcomes.
Research & Development
Trial, real-world evidence, and safety analytics that carry evidence from study data to submission-ready insight. Explore
Clinical Trial Analytics
Provide insight into the efficacy and safety profiles of new treatments, helping to determine their potential benefits and risks.
ExploreReal World Evidence Analytics
Insights into how treatments perform in diverse, everyday settings, beyond the controlled environment of clinical trials.
ExplorePatient Safety Analytics
Insights to identify and mitigate adverse events to ensure participant well-being and improve overall trial integrity.
ExploreCommercial & Sales
The reporting we are known for: HCP targeting, market access economics, and field performance on one governed layer. Explore
Patient & HCP Analytics
Analyze prescriber data and segment HCPs and patient demographics to execute a comprehensive omnichannel marketing strategy.
ExploreManaged Market Analytics
Assess rebates, contracts and discounts to understand and project profitability in order to inform drug-pricing strategy.
ExploreSales Force Analytics
A comprehensive view into sales performance by territory to drive targeting strategy and equip field reps with insights for effective, positive engagements.
ExploreOperations & Indirect Functions
Analytics that keep regulated operations efficient, compliant, and cost-effective. Explore
Regulatory Compliance
Develop effective data governance for compliance reporting to avoid costly fines and streamline audits.
ExploreInventory Management Analytics
Drive insights to optimize inventory and ensure optimal stock levels that meet patient needs while reducing waste.
ExploreIndirect Function Analytics
HR, Finance, Accounting, Procurement, and IT analytics and reporting to identify opportunities to improve operations and reduce costs.
ExplorePharma analytics shaped by the market you operate in
We bring the data models, benchmarks, and playbooks specific to how each therapeutic area actually behaves.
Oncology
Biomarker and tumor-type segmentation, line-of-therapy journeys, specialty distribution, and outcomes evidence.
Learn moreCell & Gene Therapy
Ultra-rare patient finding, treatment-center networks, vein-to-vein visibility, and outcomes-based contracts.
Learn moreRare & Orphan Disease
Predictive patient identification, diagnostic-odyssey shortening, and natural-history analytics.
Learn moreVaccines & Immunology
Seasonal, multi-channel demand forecasting at population scale with immunization and supply data.
Learn moreSpecialty Pharmaceuticals
Specialty pharmacy and hub analytics for access, prior-auth, and adherence.
Learn moreWho we serve
Explore how D2Strategy supports pharma teams and therapeutic areas end to end.
Learn moreWe cover the full Data & AI value chain
From cloud and on-premises sources through data engineering, BI and visualization, to data science, all on an enterprise security and data-governance backbone.
Returning analytics capacity to a top-pharma market-access team.
We rebuilt the access-and-reimbursement data model, automated recurring reporting, and embedded a managed analytics team, freeing client analysts to focus on payer strategy instead of spreadsheet assembly. Within a year, the team was spending more hours on payer strategy than on report assembly.
See our workPattern from a real engagement. Values are synthetic to protect client confidentiality.
What is your organization type?
Right-sized analytics for emerging life-science teams and enterprise pharma organizations.
Small & Medium Business
Launch-ready data foundations and managed BI without the cost of a full internal analytics team.
Learn moreLarge Business
Platform scale, metric governance, advanced analytics, and flexible delivery capacity for complex enterprise environments.
Learn moreHelpful articles
Perspective on data, analytics, and AI in life sciences.
How MCP Servers and GitHub Copilot Are Automating Power BI in Pharma
At Microsoft Ignite 2025, Power BI gained Model Context Protocol servers that let GitHub Copilot build and query semantic models with natural language. Fo…
Read articleFrom Dashboards to Decisions: Agentic Analytics Copilots for Commercial Teams
Dashboards tell you what happened. Commercial leaders need to know why, and what to do next. Agentic analytics copilots, maturing fast across pharma in 20…
Read articleBuilding Production RAG for Medical Information: Accuracy, Citations, and MLR Review
Retrieval-augmented generation can turn a medical information team's document library into accurate, cited answers. But moving from a promising demo to a…
Read articleBring us the question your data isn't answering.
A launch, a reporting cycle, an AI initiative. We'll show you the shortest path to a governed answer.