5 Biggest Data Challenges for Life Sciences

The life sciences industry is at a turning point. With increased migration to cloud technologies and the adoption of modern data strategies, organizations ranging from pharmaceutical giants to genomics innovators are redefining how they use data to create value and drive positive therapeutic and business outcomes.

Despite the immense opportunities that data represents to the life sciences industry, many organizations still struggle to reap the benefit of their data management investments. Common obstacles such as data silos, poor data quality, and delayed insights still hinder organizations from improving decision-making across their business while maintaining governance and regulatory compliance.

Join Snowflake, EVERSANA, and Compile for a discussion on the challenges facing life sciences organizations today.

We cover:

• How common data challenges hinder innovation in life sciences organizations
• How Snowflake helps leaders such as EVERSANA and Compile unlock the value of their data while maintaining strict data governance and security
• How data exchange and collaboration across the life sciences industry is creating new forms of value for patients, customers, and partners