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Case Study

A Biotech Giant Slashes Fermentation Data Analysis Time 20-Fold With Riffyn Nexus

“It used to take a scientist 40 hours to manage three weeks of experiment data. With Riffyn Nexus it can now be done in one or two hours.” — Riffyn customer


Challenge

  • 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

Impact

  • 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
A Biotechnology Company Spanning Food, Ag, and Pharma
Size
100,001-200,000
Process Riffyn Addressed
Connecting and contextualizing data across fermentation and analytical groups
Industry
Biotechnology

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.

The Challenge

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.

It used to take a scientist 40 hours to manage three weeks of experiment data. With Riffyn Nexus it can now be done in one or two hours.

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.

Process data analytics 2

Complete fermentation process captured in Riffyn Nexus, including online and offline analytics. Cleaned, contextualized, aggregated data is analyzed in real-time with third-party analytics plugged-in directly to Riffyn Nexus.

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.

Plots created with JMP® Software. Copyright 2019, SAS Institute Inc., Cary, NC, USA. All Rights Reserved. Reproduced with permission of SAS Institute Inc., Cary, NC.

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Callout Background
 
Technical Details
Industry
Biotechnology
Process
Upstream bioprocessingAnalytical chemistry