Amgen's Digital Transformation: Accelerating Drug Development with IoT
Technology Category
- Analytics & Modeling - Machine Learning
- Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
- Equipment & Machinery
- Pharmaceuticals
Applicable Functions
- Maintenance
- Product Research & Development
Use Cases
- Additive Manufacturing
- Inventory Management
Services
- Data Science Services
About The Customer
Amgen is the world’s largest independent biotech company, known for its innovation in the field of drug-making processes and development of life-saving medicines. For over 40 years, Amgen has been positively impacting the lives of millions around the world. The company operates in three core verticals - clinical trials, manufacturing, and commercialization. As part of its mission to best serve patients, Amgen embarked on a digital transformation journey to leverage its data for better outcomes across the business. The company aimed to improve R&D productivity, optimize supply chains, and enhance commercialization processes.
The Challenge
Amgen, the world’s largest independent biotech company, embarked on a digital transformation journey to leverage its data for better outcomes across the business. The company faced challenges in improving R&D productivity, optimizing supply chains, and commercialization. The problems that the data teams were looking to solve had drastically changed over the years and were no longer isolated by skillset, department, or function. The most impactful problems were cross-functional and required a collaborative approach. Amgen had a wealth of valuable data within its core verticals - clinical trials, manufacturing, and commercialization. However, increasing volumes of data presented challenges when it came to using that data efficiently. The company was unable to weave together the various aspects of its business, which impacted operational efficiency as it scaled both internally and with its customer base. The key challenge was to make it easy to access and process data in a collaborative manner that ties in different personas with different viewpoints on the data.
The Solution
Amgen chose the Databricks Lakehouse Platform as the foundation for its digital transformation journey. This platform enabled the company to unlock the potential of its data across various organizations, streamlining operational efficiency and accelerating drug discovery. The company transitioned from a legacy technology infrastructure to a Hadoop-based data lake. However, significant data challenges remained, both on the technical side and when it came to processes, cost, and organization. The Databricks Lakehouse Platform enabled a variety of teams and personas to do more with the data. With this unifying and collaborative platform, Amgen was able to utilize a single environment for all types of users and their preferred tools, keeping operations backed by a consistent set of data. The company leveraged Delta Lake to enable ACID compliance, historical lookback, and lower the barrier to entry for developers to begin coding by providing a common data layer for data analysts and data scientists alike to use data to optimize supply chains and improve operations.
Operational Impact
Quantitative Benefit
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