Moderna uses the right dose of data to boost discovery
Company Size
1,000+
Region
- America
Country
- United States
Product
- Amazon Redshift
- Looker
- Etleap
- Google sentiment processes
- ServiceNow
Tech Stack
- Amazon Redshift
- Looker
- Etleap
- Google sentiment processes
- ServiceNow
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Cost Savings
- Innovation Output
- Productivity Improvements
Technology Category
- Analytics & Modeling - Data-as-a-Service
- Analytics & Modeling - Real Time Analytics
- Infrastructure as a Service (IaaS) - Cloud Computing
- Infrastructure as a Service (IaaS) - Cloud Storage Services
Applicable Industries
- Healthcare & Hospitals
- Life Sciences
Applicable Functions
- Product Research & Development
- Quality Assurance
Use Cases
- Edge Computing & Edge Intelligence
- Predictive Maintenance
- Process Control & Optimization
- Real-Time Location System (RTLS)
- Supply Chain Visibility
Services
- Cloud Planning, Design & Implementation Services
- Data Science Services
- System Integration
About The Customer
Moderna is a Cambridge, MA based company that believes that messenger RNA, or mRNA, is the “software of life.” Since being founded in 2010, the company has worked to pioneer a new class of medicines based on their extensive research into mRNA. In a highly regulated industry, Moderna knows the critical importance data plays in key processes for the creation, approval, and distribution of vaccines and therapeutics. When the COVID-19 pandemic started in 2020, the pressure to find a fast, effective, and safe vaccine became a global priority. As the need for accurate, auditable, and actionable insights has become greater, Moderna has leveraged its modern, multicloud data stack to prioritize the job at hand.
The Challenge
Moderna, a research-driven organization, has always relied heavily on data for its operations. However, the company faced challenges in accessing actionable insights from its data. The majority of employees relied primarily on Excel for data analysis, with some researchers utilizing Spotfire Desktop. These tools required significant manual work and set a high barrier to entry. This manual process led to data silos across the organization, limited opportunity to further explore data, and created issues of consistency resulting from various and conflicting versions of the same report. The company needed a solution that would improve self-service and exploration, maintain data quality and consistency, and ensure the new tool would be cost-effective and integrate with the tools Moderna already had in place.
The Solution
Moderna selected Looker’s data application platform to increase organization-wide access to trusted, secure metrics. With strategic guidance from Looker's Professional Services, Moderna formulated a small team of two people to build a foundation for self-service analytics. Following best practices for scalable and flexible deployments, Moderna was able to access trusted insights from Looker within a few weeks of implementation. Today, Moderna uses Etleap for real-time ETL into Amazon Redshift. They use Looker for building models, transformation on the fly, data exploration, and self-service. And they use Google sentiment processes to pull insights from their ticketing system, ServiceNow. Moderna’s modern multicloud data strategy allows the company to centralize, access, and take action on trusted data across the organization.
Operational Impact
Quantitative Benefit
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