What We Did

• Replaced slow, legacy systems with a scalable cloud-based research platform

• Built a searchable, extensible data pipeline for multi-year, multi-trial analysis

• Used iterative collaboration to tailor outputs and infrastructure to evolving needs

The Challenge

Legacy systems supported basic trial data capture but fell short in enabling cross-year, cross-trial analytics. Researchers couldn’t easily search or correlate trial protocols across datasets, limiting their ability to make informed decisions from long-term experimental data.

The tools lacked the flexibility and scalability needed to support deeper analysis, slowing down insights and innovation in research environments where time and accuracy are critical.

Lifescale Analytics’ Solution

Lifescale Analytics delivered a modern cloud-based research environment designed to handle high volumes of field trial data across years and protocols.

Our team began by documenting the specific business and research outcomes required for success. From there, we:

• Developed a flexible, extensible prototype in the cloud to meet current and future needs

• Enabled fast search functionality to scan experimental data within seconds

• Conducted iterative review sessions with stakeholders to refine architecture, outputs, and scalability requirements

These collaborative sessions were essential to uncovering deeper infrastructure needs and ensuring that the solution could grow alongside research complexity.

Impact

With this modern data environment in place, research teams can:

• Search and analyze trial data in seconds

• Correlate protocols and results across years and locations

• Enable scientists and technical teams to collaborate efficiently

• Scale the system as data complexity and volume increases