Global Pharmaceutical Company Leverages IHD Analytics Platform to Train and Educate Employees on Real-World Data Analytics and AI/ML Methodology

See how an internal datathon helped a global pharmaceutical company strengthen real-world data capabilities, foster cross-functional collaboration, and accelerate healthcare analytics innovation to:

  • Build real-world data and AI/ML expertise across teams
  • Accelerate analytics with an intuitive self-service platform
  • Reduce reliance on external vendors for faster insights

Key Results

Empowered Faster, Data-Driven Decision-Making

Challenge

A global pharmaceutical company wanted to enhance its employees’ familiarity with real-world data (RWD) and artificial intelligence/machine learning (AI/ML) technologies. To do this, the company hosted an internal datathon featuring Panalgo’s Model Studio, the machine learning-based module built on Panalgo’s IHD Analytics platform.

Solution

The datathon involved several teams over two days working on the same research challenge. Each team was tasked with conducting the analyses using the Panalgo’s IHD platform and presenting their findings to a panel of judges, focusing on translating technical work into concise presentations. The datathon not only provided hands-on experience with IHD and RWD analytics, but also emphasized the importance of business soft skills in data science.

Outcome

The datathon was a valuable training opportunity for participants, immersing them in a real-world project for two days. The learnings from the event have been helpful, with several teams reaching out to use Panalgo’s Model Studio to solve actual research questions.

Get Started

From Data to Decision

Panalgo’s IHD is your real-world evidence powerhouse, revolutionizing analytics with precision, speed, and efficiency. Ready to learn more?

Frequently asked questions

Everything You Need to Know

How can real-world data analytics training improve pharmaceutical decision-making?

Training employees on real-world data analytics enables teams to generate insights more quickly, strengthen analytical capabilities across departments, and support faster, data-driven decision-making throughout the organization.

Why is AI and machine learning training important for life sciences organizations?

AI and machine learning training equips employees with the skills to analyze complex healthcare datasets, solve real-world research questions, and accelerate innovation using advanced analytics platforms.

How do self-service analytics platforms benefit pharmaceutical teams?

Self-service analytics platforms empower scientists and researchers to conduct exploratory analyses independently, reduce reliance on external vendors, and deliver faster insights without extensive technical re-skilling.

How did the IHD Analytics Platform support cross-functional collaboration?

Through a hands-on internal datathon, employees from multiple departments collaborated on a shared research challenge, combining technical analysis with business presentations to build both analytical and communication skills.

What outcomes did the IHD Analytics Platform deliver?

The IHD Analytics Platform helped build organization-wide real-world data and AI/ML expertise, accelerated analytics through an intuitive self-service platform, reduced dependence on external vendors, and fostered a culture of innovation and collaboration that improved healthcare analytics capabilities.

Norstella Brands

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