How emerging life science firms are reimagining their systems for today's content-critical age

A life science firms' ability to paint a clear picture of how therapies interact with human populations hinges on the analysis of mountains of clinical and research data. The amount of varied, unstructured content, increased cloud adoption and reliance on external partner networks have made controlling this content more challenging than ever.

These trends have ushered in what people might call the content-critical age, in which one of the greatest assets for life sciences companies is a scalable content architecture. And the key to success is one that establishes a solid structure to extract value from their data – no matter how voluminous and unwieldy that data may be.

This paper will explore:

• The forces that have brought us to this crossroads
• The challenges organizations face in building the infrastructure necessary to meet the moment
• The solutions required to build a scalable content architecture