While the value of R&D data is clear, finding a way to sort through it can be daunting given the special handling required to extract its value. In fact, 75 percent of surveyed R&D executives believe advanced analytics techniques would play a pivotal role in their future R&D activities, but only 25 percent state that their R&D organizations were actually using these analytics.
General-purpose data management solutions are ill-equipped to confront the challenges of R&D data, leaving researchers to manage time-intensive and/or manual processes that may or may not yield results. That’s where Enthought Edge steps in.
What is Enthought Edge?
Created by scientists for scientists, Enthought Edge is a new DataOps solution that removes barriers for R&D departments and enables scientists to extract novel insights from R&D data and in turn drive innovation.
With Enthought Edge, scientists can standardize complex R&D data through powerful Dynamic Data Modeling, access data easily through a secure central gateway with a rich intuitive user interface, and develop new data-driven insights and unlock opportunities to leverage new technologies like machine learning.
Accelerated scientific discovery and innovation
With Enthought Edge, scientists can:
- Centralize all forms of R&D data and store it in one easy-to-access location
- Standardize complex R&D data through powerful Dynamic Data Modeling
- Provide access to data through a secure gateway with a rich intuitive user interface
- Enable the development of new data-driven insights and unlock opportunities to leverage novel technologies and solutions like machine learning and artificial intelligence
Contact Enthought to learn more about Edge and follow developments in the data management challenges in R&D environments.
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