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Building an AI-enabled medical insights journey with a top 20 pharma client

We recently partnered with a leading global pharmaceutical client to streamline their insights journey, enabling them to analyze over 100,000 data records from more than 50 countries in just 2 weeks – down from 5 months!

We uncovered critical insights that had previously gone unnoticed in the big data. This transformation not only enhanced our client’s understanding of emerging educational gaps but also reshaped their strategies for side-effect management.

Download our case study to see how we can empower your organization to harness data effectively and make impactful data-driven decisions. 

Case study overview

A top global pharma client collected a vast amount of data from various sources, but extracting real-time insights proved almost impossible. The process required significant human effort, taking several months to collate information across different data silos. Interpreting the data as a whole posed additional challenges, often leading to missed actionable insights that were buried deep within the data or could only be revealed through analyzing trends and themes across multiple sources.

For example, after launching their products, the company needed to monitor emerging post-launch education gaps and address them promptly. While several data sources had the potential to reveal these gaps, manual analysis of all the information was not feasible. The client believed they were identifying most educational gaps through traditional manual analysis of medical science liaison (MSL) interactions and thought leader feedback. However, they questioned what they might be missing by not leveraging a more comprehensive, in-depth analysis of their global data.

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