As funding and budget challenges grow, academic medical centers must increasingly rely on innovation and collaboration to accelerate their translational research efforts and evolve their quest to deliver personalized medicine to patients.

However, the complex data management challenges they encounter are difficult to overcome. Data is locked inside disparate information systems, making exploration, discovery and innovation challenging. Meanwhile, an explosion of emerging genomic technologies has created unprecedented complexity and challenges in scaling existing solutions to keep ahead of new and emerging data types.

To accelerate research velocity, academic medical research centers need to gain rapid access to all the data available across their organization and from partner institutions, regardless of the type and complexity of the data and the department or discipline from which it originates, and to explore it at will. Research centers need:

Microsoft Amalga Unified Intelligence System (UIS) unifies data from disparate systems to provide a data platform that allows researchers to explore and view data from across data silos, accelerating research efforts and helping researchers understand and act upon the data’s meaning immediately.

Amalga UIS Research Foundation Module fuses data and knowledge in an innovative new way that lets researchers actively discover and predict novel relationships between data and maintain rich experimental context.