Founded in 1980 in California, Amgen is a leading global biopharmaceutical company that develops innovative treatments for serious illnesses. It is a pioneer in the biotech industry and has been responsible for the development of several life-saving medications. The company's products include biologic therapies, biosimilars, and small-molecule medicines, addressing a wide range of medical conditions.
Leveraging their expertise in biotechnology and human genetics to address unmet medical needs, the company is committed to the development of new treatments, a thorough understanding of medical illnesses, and their overall impact on the general health of the population. They also prioritize sustainability and social responsibility, striving to reduce their environmental impact and promote well-being in communities around the world.
The client encountered challenges with their existing data monitoring and analysis capabilities within the pharmaceutical sector, primarily due to outdated legacy systems. These systems hindered their ability to access and analyze data in real-time, which was crucial for making timely, informed decisions. To address this issue, they expressed a particular need for a specialized data engineering and analytics platform. This platform would not only modernize their data infrastructure but also enable them to efficiently gather, process, and analyze industry-related data in real-time. By implementing these steps, the client aimed to significantly improve their operational efficiency and decision-making processes.
Our data analytics team conducted a thorough assessment of the client's current data infrastructure within the pharmaceutical sector. Based on their findings, they proceeded to design and implement a dedicated data analytics platform tailored specifically for real-time capture and continuous monitoring of industry-related data.
With the deployment of AI and sophisticated machine learning, the platform was designed to enable predictive analytics and forecasting. This implies that it has been built with a cloud-native architecture, which would make it scalable, flexible, and able to handle a lot of data efficiently. Finally, there were interactive dashboards that had been incorporated in order to provide stakeholders with intuitive tools for exploring data insights and making informed decisions promptly.
Overall, the initiative was aimed at empowering the client with deeper insights into their pharmaceutical operations, enabling proactive decision-making, and enhancing their ability to anticipate and respond to future business challenges effectively.
The client sought a modern data engineering and analytics platform to enhance real-time data monitoring and analysis
