Are you using your scientific data to its full potential?
Organizations encounter several common challenges accessing and using their raw scientific data:
- Multiple vendor-proprietary formats
- Difficult to search / retrieve
- Lack of context and traceability
- Not reusable with informatics and analytics applications
Tetra Data supports the entire scientific data journey
Tetra Data supports the path that Life Sciences organizations follow as they incorporate and mature their scientific data process. It begins with the integration of instruments and informatics applications, adding value through engineering of the data, gaining insights through data science and visualizations, and ultimately applying AI/ML for impactful data-driven decision making.
Organizations often begin with immediate essentials: ingesting and storing scientific data in the cloud.
Next, data is enriched with metadata to provide context and meaning, enabling searchability and auditability.
As a final step, data is cleaned, transformed, and harmonized for software consumption, visualization, and higher-value analytics.