White Paper: Effective Data Strategies for Life Sciences

Healthcare data is the heartbeat of every life science company. It affects nearly every major function in the organization, with huge implications in discovery, clinical development and commercialization strategy. 

Insights from this data spanning across patients, providers and healthcare sites help guide critical business decisions and global operations in a huge way.  

IQVIA estimates that the top 10 global life sciences organizations (by revenue) spend more than $100 million per year on data investments, and at least the same amount on data analytics, reporting and data science. 

In this white paper, learn about the most effective data strategies for life sciences to streamline global operations and accelerate digital transformation.

Tyson Kuehl

Principal, Enterprise Transformation Systems
Consulting Services, IQVIA

Tyson is focused on leading life science organizations through strategic transformations, with the key enablers being data and technology. He has more than 18 years of experience in the life sciences, serving organizations across the ecosystem, and has particular expertise in leveraging data and analytics platforms to ensure optimal use of Commercial data and Real World Evidence.

He currently leads some of IQVIA’s most strategic and transformative engagements with large pharmaceutical companies, helping them to improve efficiency and optimize their operations given the myriad of evolving regulations, emerging technologies, and increasingly competitive peers.

Prior to consulting Tyson spent 6 years working in the life sciences industry in a variety of roles including Design Engineering, Regulatory Affairs, Clinical Affairs, and Business Development. He holds a Bachelor of Science degree in Biomechanical engineering from the University of Iowa, a Master of Business Administration from Kellogg School of Management at Northwestern University, and pursued graduate study at the University of California, Berkeley.