The Life Sciences industry is only beginning to realize the value of data as a strategic asset—impacting drug development, patient care, and business performance. Yet, data quality remains a significant challenge, limiting the ability to leverage advanced technologies like AI.
As faster drug development becomes increasingly critical, companies are finding ways to organize and apply their data systematically, enabling more efficient operations and better outcomes.
In this on-demand industry forum, hear our experts discuss practical strategies for improving data quality and turning data into a competitive advantage. Our panelists share insights on:
- Common industry challenges with data quality
- Why Data Quality Matters Across the Value Chain, Especially in RIM
- Framework for addressing data quality
- Industry success stories
- Best practices
- Live Q&A
Access on-demand video
Speakers:
V. “Bala” Balasubramanian
Panelist
Life Sciences Practice Leader
Orion Innovation
and
RIM Reference Model Lead
DIA
Kristen Sauter
Panelist
Director – Regulatory Informatics & Analytics
Takeda
Vijay Reddi
Panelist
Regulatory Submissions Lead
Roche/Genentech
Cesar Vinces
Panelist
eSubmission Strategy & Innovation Lead
Pfizer
Digitalization in Regulatory Lead
IRISS
Who should watch:
This on-demand webinar is designed for Life Sciences & Medical devices industry executives (VPs to Associate Directors) across all functions that interact with institutional data:
- Research & Development (R&D)
- Regulatory Affairs
- Production (Manufacturing)
- Quality (including Validation)
- Operations/IT
Access on-demand video
Industries
Healthcare & Life Sciences
October 1, 2020
