Turn Commercial Pharma Data Into Better Decisions
From HCP targeting and next best action to field-force effectiveness, commercial planning and incentive compensation, your pharma data is hiding insights.
From HCP targeting and next best action to field-force effectiveness, commercial planning and incentive compensation, your pharma data is hiding insights.
The data exists, but there's a lot of opportunity to connect those signals across CRM, customer, sales, engagement, planning and performance data
Data becomes intelligence, intelligence becomes a decision, the decision becomes field action, the action produces an outcome, and the outcome should teach the next decision. That last step is where most commercial units lose the plot. We work on four stretches of this loop, and each one hands off to the next.
Who matters, why, and what should we do about them next?
Fragmented HCP and account signals become one usable customer view, then a ranked list with a recommended next best action. Segmentation, targeting, propensity, opportunity and account strategy are one problem, so we treat them as one.
What sits inside
How do we engage, through which channel, and what is actually working?
Channel, content, timing and response signals in one place, so the next interaction is chosen rather than repeated. Campaign exposure and response feed straight back into targeting and investment instead of sitting in a separate report.
What sits inside
Is the field pointed at the right work, and does the payout agree?
Territory potential, workload and coverage decide where capacity goes. Goal setting, attainment, payout and scenario analysis decide what gets rewarded. Run them apart and you pay people to chase last year's map.
What sits inside
What changed, what does it mean, and what should we commit to next?
Sales, brand, territory, rep and campaign performance read in one decision context, then carried forward into demand and revenue planning and into modelled trade-offs before budget or headcount is committed. This is the stretch that closes the loop.
What sits inside
CRM, CDP, MDM, data platforms and planning systems stay exactly where they are. We sit on top as the intelligence, decisioning and optimization layer.
Bring HCP, prescription, CRM engagement and market data together to help commercial teams identify the highest-value opportunities and act on them with a clear next best action.
Versus rep-led models without AI scoring
Through focused HCP targeting and guided field execution
From insight generation to field action
Polestar Analytics helped Micro Labs Germany replace fragmented, spreadsheet-led planning with integrated demand and supply planning across its manufacturing, sales and operations teams
Penalty report generation
Down from 2.5
New product integration
Eight use cases of Agentic AI in commercial Pharma from HCP segmentation and sales forecasting to decision support
Improved decision making
Automation across Anaplan models and the Data Hub
Reduction in time spent on target setting
Reduction in executive reporting time
KPI cards redesigned across dashboards
Reports enabled for structured tracking and improved visibility
Reduction in Azure Databricks spend through workload and cluster optimization
Visibility into cloud costs across domains, projects, and workloads
Datasets rationalized by eliminating redundant pipelines and scripts
Pharma decisions are interconnected across clinical, commercial, and access. Polestar Analytics brings these signals together, so every decision is informed, timely, and aligned across the lifecycle.
Your data never trains our models. Full audit trails. Deployment on your own cloud environment. Validated for use in GxP environments with audit-ready outputs for regulatory submissions.
Polestar Analytics plugs into the CRM, data platform, and planning tools your commercial team already runs. No rip-and-replace, no migration project to greenlight first.
Across all three: MLR consent privacy. audit trail
Where the decision gets made & owned. Brand, sales ops, omnichannel, KAM, IC.
The governed surface teams build on, and the route a decision takes to the field.
The data and plumbing everything above it inherits, for better or worse.
Read it bottom up. Fix the foundation, govern the surface, and the commercial team stops waiting on a report to make a call.
