Moderna uses the right dose of data to boost discovery
公司规模
1,000+
地区
- America
国家
- United States
产品
- Amazon Redshift
- Looker
- Etleap
- Google sentiment processes
- ServiceNow
技术栈
- Amazon Redshift
- Looker
- Etleap
- Google sentiment processes
- ServiceNow
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Innovation Output
- Productivity Improvements
技术
- 分析与建模 - 数据即服务
- 分析与建模 - 实时分析
- 基础设施即服务 (IaaS) - 云计算
- 基础设施即服务 (IaaS) - 云存储服务
适用行业
- 医疗保健和医院
- 生命科学
适用功能
- 产品研发
- 质量保证
用例
- 边缘计算与边缘智能
- 预测性维护
- 过程控制与优化
- 实时定位系统 (RTLS)
- 供应链可见性(SCV)
服务
- 云规划/设计/实施服务
- 数据科学服务
- 系统集成
关于客户
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.
挑战
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.
解决方案
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.
运营影响
数量效益
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