What are the benefits of using data analytics in the Pharmaceutical industry?

Our clients in pharmaceutical have reported to have increased their marketing ROI by up to 18%. Moreover, they also reported a 99.93% production uptime using pharma analytics. Having data analytics solutions in place, we help pharma companies with drug discovery, clinical trials, pricing analytics strategies, and more to save on cost and accelerate time to market.

How can we help with post-market surveillance of drugs?

We enable you to detect possible drug safety issues more quickly than traditional methods. Our analytics consulting approach can help you utilize disparate tools, and techniques for causal inference to differentiate correlation from causation, ensuring the accuracy of your results.

How can Polestar Analytics help Pharma companies ensure a smooth and efficient supply chain for their products?

To streamline your supply chain operations, Pharma companies can utilize Polestar Analytics' Supply Chain Control Tower to enhance logistics routes, detect possible risks in advance, and improve cooperation with partners. Moreover, it provides a central hub to manage the complete value chain of suppliers, manufacturing, storage facilities, and distributors.

What are Digital Twins in the context of clinical trials, and how can they benefit Pharma companies?

We assist you with simulating various trial designs and anticipate possible obstacles before recruiting actual patients with Digital Twins. This enables pharmaceutical companies to improve trial design, find the most effective method, and possibly lower expenses and speed up trial completion times, all while maintaining safety with virtual safety monitoring.

Analytics Solutions for Pharma Industry

Why Pharma decision-making is still broken?

Pharma organizations are generating more data than ever, yet critical commercial and clinical decisions are still delayed, fragmented, and reactive.

Fragmented data, fragmented decisions

Clinical, commercial, and patient data remain siloed across systems. By the time insights reach the field, the prescribing window is already missed.

↳ Missed Rx conversions & reactive strategy

Insights move slower than the market

Traditional analytics cycles take weeks, while competitors respond in days. Delayed insights translate into missed signals & lost market share.

↳ Late brand responses & missed growth signals

Promotional spend lacks a targeting layer

Without AI-driven HCP prioritization, spend is distributed broadly instead of strategically—reaching the wrong physicians at the wrong time.

↳ Wasted spend & poor brand campaign ROI

Launch windows close faster than your models run

Time from approval to effective commercial deployment averages 6-9 months. In oncology and rare disease, that gap is existential. Speed is the strategy.

↳ Suboptimal launch trajectories that compound over brand lifetime

AI-powered analytics for every pharma & Lifesciences decision.

Commercial Excellence & HCP Intelligence

Know exactly which HCP to engage, what to say, and when to act before the competition does. AI-powered segmentation and targeting, combined with NBA engines, enable precision engagement supported by brand analytics and omnichannel journey orchestration to maximize prescription impact.

Field Force & Omnichannel

Turn every HCP interaction into a high-impact moment across every channel. Optimize territories, call plans, and engagement strategies, while leveraging channel orchestration and rep performance analytics to drive consistent, data-driven field execution.

Market Access & Payer Analytics

Win access early by understanding payer dynamics before they impact your brand. Combine formulary intelligence with payer segmentation, access modeling, and cohort analytics to uncover barriers and turn insights into proactive market access strategies.

Revenue & Demand Forecasting

Predict demand, optimize spend, and drive revenue with confidence. Integrate Rx forecasting with market mix modeling, promotional ROI analytics, and revenue optimization to reduce uncertainty and unlock growth opportunities early.

Clinical Data & Patient Journey

Connect clinical data to real-world outcomes and act before patients drop off. Unify patient adherence insights, RWE analytics, and clinical data bridges to map journeys and deliver actionable intelligence that improves both health and commercial outcomes.

Medical Affairs & KOL Analytics

Turn scientific influence into strategic advantage. Map KOL networks, track MSL effectiveness, and leverage publication intelligence to translate scientific signals into actionable insights across clinical and commercial teams.

Our Purpose-Built AI Solutions for Pharma Commercial Teams

HCP Segmentation
Incentive Compensation Management
CapitalPulse

Move from static lists to living HCP intelligence that evolves in real time.

Use Agentic AI to identify high-value HCPs early and deliver personalized Next Best Actions that improve engagement and Rx outcomes.

AI-driven dynamic HCP segmentation
Predictive targeting of high-value & at-risk HCPs
Personalized Next Best Actions (message, channel, timing)
Loyalty scoring, channel sensitivity & growth prediction
Closed-loop learning and continuous optimization

Design incentives that drive performance by understanding the whole rep-not just the quota.

Align incentives to rep potential and territory context using AI + EI-driving better motivation, lower attrition, and stronger performance.

IC plan design with scenario simulation
AI-driven quota setting by territory potential
EI-based rep insights (relationships, agility, collaboration)
Personalized AI mentor for coaching and burnout prevention
Real-time performance tracking & incentive optimization

Turn every promotional dollar into measurable Rx impact.

Stop guessing your marketing mix. CapitalPulse models incremental prescription impact and recommends where to invest to maximize ROI.

Promotional ROI modeling by channel
Multi-brand spend optimization
Scenario planning & budget simulation
Real-time spend tracking & alerts

Manage Working Capital

Proven AI impact across pharma commercial teams.

Streamlined ICM process with Anaplan for a global healthcare equipment giant for their NAM region

43%

Improved decision making
100%

Automation across Anaplan models and the Data Hub
70%

Reduction in time spent on target setting

See how we did it

Analytics & Reporting Enablement for a US Healthcare Organization

50-70%

Reduction in executive reporting time
60+

KPI cards redesigned across dashboards
15K-20K

Reports enabled for structured tracking and improved visibility

Explore the full story

Achieved 17% Cost Savings with FinOps on Azure Databricks for a Global Pharma GCC

17%

Reduction in Azure Databricks spend through workload and cluster optimization
100%

Visibility into cloud costs across domains, projects, and workloads
150k+

Datasets rationalized by eliminating redundant pipelines and scripts

See the implementation

Why pharma teams choose Polestar Analytics?

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.

Enterprise-grade security & compliance

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.

HIPAA
SOC 2
GxP-Ready
21 CFR

Talk to Pharma & LS Expert

01
Pharma DNA, not retrofitted AI Built for pharma workflows from day one. Not a horizontal analytics tool with a life sciences module bolted on. Every model, metric, and output is calibrated for the industry.
02
Agentic workflows, not dashboards Our AI agents don't just surface insights - they take the next step. Automated recommendations, triggered field actions, closed feedback loops. The dashboard is the output, not the product.
03
8 weeks to live. Not 18 months. Average deployment: 8 weeks. First meaningful insight: Day 14. We've done this across 50+ engagements. Your team has a launch to plan - we won't slow it down.
04
Stack-agnostic. Works across Azure, AWS, Databricks, Snowflake, and Veeva CRM, Salesforce Health Cloud, and IQVIA OCE - without a rip-and-replace. Our standard connectors cover 85% of the pharma data estate out of the box.
05
Purpose-built for Emerging Pharma, not just top-20 Commercial AI shouldn't require a 500-person data team. Polestar Analytics deploys for emerging and specialty pharma with the same enterprise-grade models, lighter footprint, and time-to-value under 8 weeks.

Disrupting Pharmaceutical & Lifesciences with AI, Analytics and Agentic Innovations

Talk to our Experts