Pharma Intelligence Firm Streamlined 1000+ Influencer Insights

Built a centralized platform which curates views from 25,000 sources and distills findings using concise reports

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25,000+

Sources curated into one intelligence platform

1,000+

Influencers tracked for real-time insights

500

Tweets captured every 2 hours

Client Overview

A clinical data intelligence company in the pharmaceutical and life sciences sector wanted to improve how decision-makers gather insights from key opinion leaders (KOLs).

As real-time discussions grew across digital channels, they required a unified platform to collect, refine, and present relevant intelligence from a vast array of sources.

Challenges

Turning millions of tweets into useful intelligence meant solving for scale, relevance, and security across the entire data pipeline.

High Volume of Unstructured Data

The team had to manage millions of tweets across thousands of influencers, most of them noisy, inconsistent, and difficult to structure.

Lack of Clarity in Influencer Sentiment

Distinguishing meaningful sentiment from replies, retweets, and irrelevant content made signal extraction highly error-prone and time-consuming.

Performance Bottlenecks in Remote Environments

Rapid data growth and remote collaboration introduced risks of slow processing, security gaps, and coordination issues across teams.

Solution

We developed a scalable, microservices-based platform that enabled real-time tweet ingestion, intelligent filtering, and secure data delivery.

Automated Data Ingestion

Built a reliable system to continuously capture and update tweet data from key influencers in the pharma space.

Intelligent Signal Filtering

Developed automated filters to extract meaningful sentiment while removing noise from replies and retweets.

Performance-Focused Data Architecture

Optimized the data pipeline to accelerate retrieval speed and provide seamless access to curated KOL insights.

Role-Based Platform Security

Implemented layered security measures to protect sensitive information during remote collaboration.

Business Impact

The platform delivered faster insights, reduced analyst effort, and gave decision-makers a sharper view of market sentiment.

Faster Market Signal Discovery

Decision-makers accessed timely, relevant insights from influencer conversations without manual analysis delays.

Improved Strategic Forecasting

High-volume sentiment data enabled early detection of shifts in clinical trends and public opinion.

Reduced Analysis Overhead

Automated data capture and updates minimized manual processing and improved team productivity.

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