#pharmaanalytics

SCM Planning for Micro Labs Case Study | Polestar Analytics

See how Polestar Analytics helped Micro Labs GmbH transform supply chain planning with Anaplan. By replacing manual spreadsheets with an integrated planning platform, the solution delivered real-time visibility, automated reporting, improved demand forecasting, and optimized inventory management across 14+ manufacturing facilities.

Learn how anaplan connected planning enabled faster decision-making, enhanced operational efficiency, and better coordination across the supply chain ecosystem.

Real-World Evidence (RWE) is reshaping the pharmaceutical industry by combining real-time healthcare data with advanced analytics. From improving clinical trial outcomes to enabling data-driven regulatory and pricing decisions, RWE empowers pharma companies to deliver safer, more effective therapies in 2025 and beyond. Discover how advanced data analytics transforms real-world data into actionable insights.

The US pharmaceutical industry is one of the most advanced in the world, but it’s also one of the hardest to navigate. Every day, pharma teams deal with a lot of challenges, like understanding fast-changing patient needs, tracking HCPs’ prescribing behavior, drug growth, coping with payer rules, and staying ahead of competition. And because the healthcare system is so huge, it creates mountains of data: prescription data, doctor data, hospital data, claims data, patient journeys, digital behavior, access barriers, the list never ends. 

Trying to make sense of all this without help feels like trying to solve a 5,000-piece puzzle in the dark. That’s exactly where pharma analytics in US healthcare becomes important.

Analytics companies help pharma teams by:

Turning messy data into clear insights

Showing which medicines are working and where

Identifying why patients drop off therapy

Helping improve launch strategy, access, marketing, and forecasting

Making it easier to understand the entire healthcare market

Today, pharma companies rely heavily on healthcare market research, healthcare market intelligence, and healthcare market analysis to make decisions faster and more confidently.

Let’s look at the Top 5 companies in the US that are doing amazing work in this space, explained simply, in a fun and easy-to-follow way.

1. IQVIA - The Global Giant of Healthcare Data

IQVIA is widely recognized as one of the largest and most influential healthcare data and analytics providers. Their platforms help pharma companies see what’s happening across prescriptions, providers, patients, and markets.

What They’re Good At

IQVIA is best known for its extensive real-world data assets and deep industry expertise. Their datasets cover prescription flows, HCP behavior, patient journeys, and treatment patterns across the US.

Popular Products

IQVIA Xponent® - Prescription intelligence

IQVIA Claims Data - Patient-level behavior insights

ONEKEY® HCP Database - Comprehensive directory of US providers

NPA Market Data - Drug performance trends

Their USP

IQVIA’s scale, breadth, and long-standing presence make it one of the most trusted sources for healthcare market research and performance tracking across the US pharma ecosystem.

2. Symphony Health (ICON) - The Patient Journey Specialists

Symphony Health, part of ICON, is known for its strong focus on understanding therapy journeys and real-world patient behavior.

What They’re Good At

They specialize in fast, high-quality prescription and claims data used for detailed healthcare market analysis. Symphony’s analytics help brands understand adoption, switching patterns, adherence, and payer barriers.

Popular Products

Integrated Dataverse (IDV®) - Large-scale patient-level data

Pulse Analytics - Real-time brand and market dashboards

Launch Insights - Early adoption and market entry analysis

Their USP

Symphony is known for strong granularity and speed. Their solutions help pharma teams quickly identify growth pockets and barriers, especially critical during launches.

3. Truven Health Analytics (Part of Merative)

Truven Health Analytics, now part of Merative, brings decades of experience in real-world data, claims analytics, and healthcare outcomes research.

What They’re Good At

Truven excels at connecting patient outcomes with costs, treatment pathways, access challenges, and system-level performance. Their datasets are widely used in epidemiology, HEOR, and value-based care analysis.

Popular Products

MarketScan® Databases - Industry-standard claims datasets

Healthcare Analytics Suite - Tools for outcomes and cost analysis

Quality Measures Insights - Hospital and payer quality performance

Their USP

Their strength lies in combining clinical, financial, and operational data, providing powerful, evidence-based healthcare market intelligence for long-term decisions.

4. McKinsey Healthcare Analytics - The Strategy + Data Powerhouse

McKinsey is globally known for strategy consulting, but it also offers strong analytics tools that help pharma teams refine their commercial and market access strategies.

What They’re Good At

McKinsey blends data analytics with strategic advisory. They help pharma teams understand performance drivers, optimize decision-making, and design better go-to-market strategies.

Popular Products

Periscope® - A cross-industry analytics platform used for pricing, promotion, and sales performance

McKinsey Insights Hub - Research-driven healthcare insights

Omnichannel Navigator - Evaluates digital and field effectiveness

Their USP

Rather than focusing only on raw data, McKinsey combines analytics with high-level strategic advice ideal for pharma companies that need both insights and direction.

5. CustomerInsights.AI - The Fast, Modern Analytics Platform Built for Today

CustomerInsights.AI represents the new generation of analytics platforms, agile, cloud-native, and built specifically for modern pharma teams.

What They’re Good At

Unlike legacy data providers, CustomerInsights.AI focuses on ready-to-use apps, automated analytics, and AI-powered insights that deliver answers instantly. It brings together data, dashboards, workflows, and GenAI into one easy platform.

Popular Products

ciATHENA - Agentic AI Conversational Intelligence

It is a conversational AI platform for pharma teams that provides instant insights, narratives, and recommended actions in natural language, acting as a constant intelligence partner to automate analysis and support decision-making.

ciPARTHENON - GenAI-Powered Analytics Platform

A modern analytics ecosystem with 40+ ready-to-use pharma applications, ciPARTHENON provides real-time intelligence on sales performance, payer analytics, launch tracking, and omnichannel insights, all powered by GenAI.

Their USP

CustomerInsights.AI brings the advantages of speed, automation, and simplicity. Instead of waiting days or weeks for reports, teams get actionable insights in minutes, ideal for fast-moving commercial and market access teams.

Conclusion: Choosing the Right Analytics Partner Makes All the Difference

The US pharmaceutical market is complex, competitive, and rapidly changing. With so much data and so many decisions to make every day, pharma teams can’t rely on gut instinct alone.

That’s why healthcare market research, healthcare market analysis, and healthcare market intelligence are essential.

Originally Published on: Quantzig|NLP Sentiment Analysis Reduces Customer Churn by 57% for US Drug Manufacturer

Overview of the Engagement

As industries embrace technological advancements, the pharmaceutical sector is no exception, striving to enhance customer experience and satisfaction. A major player in the American pharmaceutical and biotechnology sector, headquartered in Boston, collaborated with Quantzig to harness the power of Natural Language Processing (NLP) sentiment analysis to reduce customer churn rates.

Client Background

The client specializes in generic drug manufacturing, focusing on treating cardiovascular diseases, arthritis, and various medical conditions. Seeking to optimize customer engagement strategies, the client turned to Quantzig's expertise in NLP sentiment analysis.

Challenges in NLP Sentiment Analysis

The drug manufacturer faced challenges in accurately capturing and analyzing sentiment from the vast social media data using existing tools. The key problem statements included:

Identifying Key Emotional Triggers: The client aimed to identify messages and conversations acting as emotional triggers to influence customer behavior.

Enhancing Customer Service: Challenges existed in determining the best approach for different customer segments, and the client sought NLP sentiment analysis to aid human agents in adaptive customer service.

Crisis Management: The client's recent changes in customer service strategy received negative feedback, prompting the need for NLP sentiment analysis to monitor social media networks and mitigate brand damage.

Quantzig's NLP Sentiment Analysis Solution

Collaborating with Quantzig, the client gained insights into social media interactions, refining their digital marketing communication strategy. NLP sentiment analysis, combined with opinion mining, facilitated a better understanding of customer-product interactions. The solution included:

Trained and Advanced Chatbots

Adaptive Customer Service

57% Reduction in Customer Churn (FY 19-20)

Redefinition of Digital Marketing Strategy

Efficient Crisis Management

Business Impact of NLP Sentiment Analysis

Quantzig's sentiment analysis of pharmaceutical products enabled the client to redesign and train chatbots, respond to customer moods, and significantly reduce customer churn. The outcomes included:

"Quantzig’s experts, along with their superior data analytics solutions, helped us realize an outstanding reduction in customer churn without leaving a huge dent in the budget!"

Over the past couple of decades, 𝗽𝗵𝗮𝗿𝗺𝗮 𝘀𝘂𝗽𝗽𝗹𝘆 𝗰𝗵𝗮𝗶𝗻𝘀 have become increasingly globalized. Today they are sitting on heaps of data and by using supply chain 𝗮𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 focus can be drawn on granular metrics, predictive analytics, forecasting, inventory optimization, supply distribution & cost information as well as cost differences/ gaps.

The use of technologies like AI/ ML, business intelligence and visualization will enable pharma companies to remove redundancies and eliminate repetitive tasks, writes Ankit Goyal - 𝗩𝗣 Polestar Solutions & Services in an exclusive article with @BioSpectrum India . - https://bit.ly/3ccrfmP

Advanced Pharma

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