Pharmaceutical Executive January 26, 2026
Key Takeaways
- Biotech data visualization is often static and fragmented, limiting the ability to see integrated patient journeys and scientific signals.
- Effective visualization enhances decision-making, cross-functional alignment, and communication with stakeholders, leading to better patient and business outcomes.
- Biotech should embed visualization throughout the data lifecycle, adopt interactive experiences, and leverage AI-assisted analytics.
- Overcoming barriers like fragmented data, limited resources, and cultural challenges requires multi-departmental cooperation and treating visualization as a strategic capability.
Poor visualization techniques can oversimplify reality and make data less potent.
Sunitha Venkat, vice president of data services and insights at Conexus Solutions, spoke with Pharmaceutical Executive about the importance of using high quality data visualization methods. According to her, the industry has been relying...
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