- Data stored in various spreadsheets owned by individual people
- Miscommunication between groups due to hindered data sharing and transparency
- 40 hours needed to manage three weeks of experimental data
- Data centralized and globally accessible
- Increased transparency improved communication between groups and reduced confusion
- One to two hours needed to manage three weeks of experimental data
About the Project
It is estimated that scientists waste up to 80% of their time cleaning and readying data for analysis instead of analyzing data and making important discoveries. It is difficult to grasp what that means until you experience that pain for yourself and relief from it, as one of our customers did.
A major biotech company spanning the agriculture, food, and pharmaceutical spaces needed to speed up their R&D processes. To meet their goal, they had to contextualize and connect work being done over time by multiple groups within fermentation and analytical chemistry. A major roadblock to meeting their goal was fragmented data tools and systems leading to siloed data.
Most of their data were being captured and stored in spreadsheets, which typically belonged to different individuals who crafted each one uniquely. This made data difficult to impossible to share and contextualize in the broader experimental ecosystem. As a result, a lot of time was lost on miscommunication rather than on data analysis and interpretation.
The Riffyn Nexus Solution
To solve this problem, the Riffyn Science team used Riffyn Nexus to completely digitize our customer’s fermentation data capture, sample submission, and analytical data reporting. This provided all users across the groups with rigorous, standardized results.
Using Riffyn Nexus, the fermentation team could instantly see the analytical data in the context of their process conditions, and the analytical team could understand where samples fit into the upstream fermentation process. This eliminated the need for them to do complex sample management and ultimately simplified communication across the fermentation and analysis teams. It allowed all the team members to to see and investigate deviations and correlations in real-time.
Eliminating spreadsheets has also reduced human error and saved time previously spent on manual curation. It used to take one scientist 40 hours to manage three weeks of experiment data. Now, using Riffyn Nexus, data are automatically collated, contextualized, and readied for analysis in just one to two hours. The customer is now expanding Riffyn Nexus for downstream processes, including integration with the Riffyn API for lab automation, as well as expanding into other groups within the company.
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