Thoughtworks-AWS Life Sciences whitepaper
Driven by a rapidly changing environment fueled by digital technologies and new operating models, the life sciences industry is now in a constant state of evolution. But in recent years, several major shifts have converged to drive significant transformation throughout the life sciences landscape. The need to drive significant shifts in their speed to market, the ability to innovate faster across the value chain, and navigating a changing regulatory landscape and market volatility while becoming data centric and optimizing costs has become business critical.
On the other hand, a siloed, complex technology landscape limits the ability for the components of the value chain to exchange information. The ability for firms to quickly respond to changes requires interoperability including the need for continuous regulatory compliance. Flexible architectures using advanced technologies such as cloud can enable the flexible, adaptive strategies required to succeed in these conditions.
Together, Thoughtworks and AWS bring our industry expertise, software engineering excellence, agile transformation culture, modern digital tools and the most secure, compliant infrastructure. You can leverage our purpose-built, secure and compliant solutions to help you deliver innovation and data-driven decision making to accelerate time to insights, optimize operational excellence, accelerate time to market and personalize patient and HCP engagement.
The need to drive significant shifts in speed to market, the ability to innovate faster across the value chain, and navigating a changing regulatory landscape and market volatility while becoming data centric and optimizing costs has become business critical for the Life Sciences industry.
Data Mesh can help life sciences organizations overcome many of their biggest data sharing and collaboration challenges, and do more with less. In this guide, Thoughtworks and AWS experts will:
Explore why Data Meshes are so well aligned with the goals and challenges faced by life sciences organizations.
Walk you through what it takes to implement your own Data Mesh.
Share what a life sciences Data Mesh can look like.
Explore the capabilities that form a strong foundation for managing data as products.
