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Pfizer Builds on the Genedata Biopharma E2E Workflow Platform
Technology Category
- Analytics & Modeling - Machine Learning
- Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries
- Healthcare & Hospitals
- Pharmaceuticals
Applicable Functions
- Product Research & Development
- Quality Assurance
Use Cases
- Predictive Quality Analytics
Services
- Data Science Services
- System Integration
The Challenge
Pfizer, a global biopharma giant, faced the challenge of aligning workflows and centralizing data for more than 200 scientists located at 6 sites around the world. The company's diverse and growing biopharma R&D operations required a central system to share data and align large-molecule R&D processes. With R&D teams spread across the globe, vast amounts of data were being collected in silos, making it difficult for teams to share information. This impeded collaboration and led to process inefficiencies. After an aborted attempt with a develop-as-you-go approach, Pfizer decided to evaluate the market in search of a commercial enterprise data management system for their large-molecule R&D groups. The desired system would need to act as a backbone platform and central repository for Pfizer’s biological R&D workflows and include tools able to capture specific instrumental data, workflows, analyses, and each group’s unique contribution to the overall biological drug discovery process at Pfizer.
About The Customer
Pfizer is the world’s largest pharmaceutical company, a research-based organization with significant R&D investment. The company's key research areas include inflammation and immunology, internal medicine, oncology, rare disease, and vaccines. Biotherapeutic discovery and development within Pfizer is centralized in the Biomedicine Design and Biotherapeutic PharmSci departments. With R&D teams spread across the globe, Pfizer delivers biotherapeutic treatments that benefit patients worldwide. The company has been a Genedata customer since 2015.
The Solution
After conducting a thorough market evaluation to identify an off-the-shelf enterprise system for large-molecule discovery, Pfizer decided to implement Genedata Biologics as their central repository for their biologics discovery data, including screening, molecular biology, engineering, expression, purification, and analytics. The platform works out of the box and includes unique and comprehensive built-in business logic for all major discovery technologies, such as phage and yeast display, hybridoma, or B-cell-based approaches, Pfizer was able to get up and running quickly. In addition, the platform’s open architecture made it possible for Pfizer to integrate it into their existing R&D and IT environment and to develop highly integrated custom tools on top. Three years after the deployment of Genedata Biologics, Pfizer decided to expand beyond discovery and implemented Genedata Bioprocess to support their large-molecule pharmaceutical development.
Operational Impact
Quantitative Benefit
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