delivering the enterprise information architecture for the genomics era
Smart Data Management
By 2025 we will be generating one zetta-base pair of genomic data annually. [To use an industry metaphor; if you consider a base pair as a grain of rice then a zetta base pair would fill the space occupied by the Pacific Ocean.] This presents an unparalleled data analysis challenge and smart data management solutions are required to meet that challenge.
Experts in Smart Data Management
Built on the foundations of deep data science and using state of the industry machine learning approaches, our solutions enable the intelligent navigation of life sciences data and the transformation of data and data sets into data assets. We are redefining the current industry paradigm in data management and unlocking the potential for “data as a service” in solving the grand life science challenges of our age.
Industry Leading Experience
Over the last decade we have worked with a growing number of global customers in a range of industries in the management and exploitation of their ever growing data and information resources. More recently we have been engaged in the architecting and implementation of management solutions for industrial scale genomics data research and the implementation of effective data governance solutions as a prerequisite for the data driven business transformation that our customers are undertaking.
Our smart data management platform bridges the entire process from the medical data through to insight.
“Through 2015, organizations integrating high-value, diverse, new information types and sources into a coherent information management infrastructure will out perform their industry peers financially by more than 20%.”
“This ‘conversation’ between the scientist and the data sets is the next wave of innovation that we need deployed to our R&D teams, so we can quickly and systematically find and validate new compounds in this Precision Medicine era. Eagle is very much focused on solving this problem and we fully support their product plans.‟
Mathew Woodwark, Director of Bioinformatics, MedImmune
“Unilever’s digital data program now processes genetic sequences twenty times faster— without incurring higher compute costs. In addition, its robust architecture supports ten times as many scientists, all working simultaneously.”
Pete Keeley, eScience IT Lead for Cloud Solutions at Unilever
Find out how our software could advance the pace of your researchGet in contact