Breaking Clinical Data Silos: Efficiency and Collaboration With Compliant, Unified R, SAS, and Open-Source Workflows (Webinar Replay)

DateFebruary 12, 2026 Time10-11 a.m. ET HOSTED BYAtorus

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Speakers

Host<br>Aga Rasińska

Host
Aga Rasińska

Associate Director of Strategy

Mike Stackhouse

Mike Stackhouse

Chief Innovation Officer

Danielle Stephenson

Danielle Stephenson

Manager, Statistical Programming

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Join Breaking Clinical Data Silos, a replay of our high-demand Atorus Unscripted webinar from December, to see how experts are breaking down silos and modernizing clinical data workflows with GxP-ready, unified multilingual analytics.

Disconnected workflows in R, SAS®, and open-source tools lead statisticians to spend over 30% of their time on validation and data movement, slowing team productivity. This interactive discussion highlights these challenges and explores how unified, multilingual analytics can streamline workflows and boost efficiency.

Hear firsthand experiences, see integrated analytics dashboards in action, and interact with experts who have guided biostatistics, clinical, and data management teams in breaking silos, optimizing collaboration, and achieving enterprise-grade results without enterprise-scale resources.

  • Challenges in today’s clinical data landscape and how teams overcome them by unifying statisticians, clinicians, and data managers by integrating R, SAS, and open-source tools 
  • Real-world examples of how small-to-midsize pharma and biotech companies compete with enterprise analytics while achieving measurable ROI and operational efficiency 
  • Live demonstration of Ageirein, a unified, multilingual clinical data analytics platform  
  • Maintaining GxP compliance and regulatory confidence while adopting open-source analytics 
  • What’s next in data-driven clinical innovation 
  • Streamline workflows and unify statisticians, clinicians, and data managers 
  • Maintain compliance while leveraging R, SAS®, and open-source tools 
  • Gain real-world strategies for faster, more efficient clinical trials 
  • Learn how smaller teams compete with enterprise-level analytics 
  • How integrated clinical analytics platforms eliminate silos and accelerate insights 
  • How to maintain compliance while adopting open-source analytics tools 
  • Real-world strategies for transitioning without disrupting operations 
  • How small-to-midsize biotechs can compete with enterprise analytics capabilities