Evolving Care, Evolving Data: Scalable Analytics for the Future of Healthcare and Life Sciences

Many life sciences corporations, healthcare agencies, and other large organizations use the SAS language to develop and deploy data analytics applications, including patient data management, clinical trial preparation, research and development, statistical analysis, regulatory compliance, reporting, and more. Some applications have taken decades to perfect while others continue to be created. Such applications can number in the hundreds of thousands and typically provide high value in critical areas of a business in an industry requiring decades of investment to bring new therapies to market.

This white paper will discuss strategies and tools for updating SAS language operations, enabling organizations to improve performance, and integrating modern technologies without the need for costly, risky rip-and-replace. By adopting these solutions, companies can enhance their agility and efficiency in data analytics.