Designing a data management infrastructure to grow a pipeline and support scientific research
Our client generates large data volumes during the research
During the standalone
Through regular check-ins, updates, and feedback-gathering sessions, Quantori's iterative problem solving approach ensured that all project stakeholders engaged and aligned with the solution business goals and implementation approach.
With rapid prototyping, the Quantori team evaluated and addressed project risks and validated hypotheses and assumptions, which helped define the Solution Architecture and was instrumental in selecting optimal technologies and integrating strategy with existing platforms (e.g.: CDD Vault).
The client was delivered a data lake solution based on AWS services, that addressed needs including portability, resiliency, integration, and security, and could handle both structured and unstructured data.
The pre-defined MVP scope of work and implementation roadmap reflected the client’s expectations and existing constraints.