Palestrantes

Kemi Phillips
Head of Capability Building - Data Science and Artificial Intelligence at Novartis

Para Empresas

Treinar 2 ou mais pessoas?

Dê acesso à sua equipe à biblioteca completa do DataCamp, com relatórios centralizados, tarefas, projetos e muito mais.

Customer Story: How the Novartis L&D Team Scaled Their Data Training

July 2022

Summary

Novartis' Learning and Development team has effectively increased its data science training using a systematic approach. Kemi Phillips, who oversees the development of data science and AI skills at Novartis, leads the team. They use a centralized structure to identify training needs across various departments and develop programs that can be expanded throughout the company. The strategy involves a cooperative network of internal and external partners, using platforms like DataCamp for skill development. Key initiatives include the Data for Leaders program, low-code AI tools for non-data professionals, and a virtual learning space named Novartis Data City. These initiatives aim to improve data literacy universally, in line with Novartis' broader digital and data strategy.

Key Takeaways:

Systematic learning programs are necessary for increasing data science training across large organizations.
Collaborations with platforms like DataCamp facilitate flexible and thorough skill-development pathways.
Data literacy is vital for all employees, not only data scientists, to drive innovation.
Leaders play a vital role in maximizing the potential of data science teams by aligning business problems with data solutions.
Programs must be flexible to the unique needs of different departments while maintaining a consistent learning structure.

Deep Dives

Increasing Data Science Training

Novartis has developed a sturdy framework for increasing data science training, led by Kemi Phillips. The approach involves creating systematic learning programs suited to specific departments, which are then repeated ...
Ler Mais

and expanded throughout the company. The goal is to democratize data skills across the organization, ensuring that every employee understands the importance of data literacy. "We're providing a model for programs that can be expanded quickly and effectively by others," said Phillips. This method allows Novartis to address unique departmental needs while maintaining consistent training quality.

Using External Partnerships

Novartis has collaborated with platforms such as DataCamp to facilitate scalable and flexible learning pathways. These collaborations provide access to a wide array of courses and resources, enabling personalized learning experiences. Phillips noted, "Our relationship with DataCamp allows us to use their tools in various ways, making it easy to adapt learning to specific needs." This collaboration supports Novartis' strategy to upskill employees in data science, creating an environment where learning is accessible and adaptable.

Improving Data Literacy

Enhancing data literacy across all levels of the organization is a priority for Novartis. Initiatives like the Data for Leaders program aim to align business problems with data-driven solutions. Leaders are encouraged to bring real-world challenges to the table, where data analytics tools can be applied to find solutions. Phillips highlighted, "We need to impress leaders with the potential of data science to solve business problems." By engaging leaders, Novartis ensures that data science capabilities are fully utilized to drive strategic goals.

Building a Cooperative Network

Novartis has built a cooperative network involving internal and external partners to support its learning and development goals. This network includes Yammer communities for knowledge sharing and a centralized hub for accessing resources. "It's about creating an environment where people can easily share and learn from one another," said Phillips. Through this network, Novartis creates a culture of continuous learning and innovation, encouraging employees to develop their data skills in a supportive environment.