

CERTIFICATE AWARDED TO
Timothée Perrin
FOR COMPLETION OF
NU 201: Applying Analytics and Artificial Intelligence
B2B Case: Hagane Steel Manufacturing
2020


FRANCESCA CORNELLI
THOMAS O'TOOLE
Associate Dean of Executive Programs
Clinical Professor of Marketing
Dean, Kellogg School of Management
Donald P. Jacobs Professor of Finance
Credential ID: 21260043

Timothée Perrin
The learning goals of the Hagane Steel Case highlight distinctions between a traditional project and an analytics-driven project.
After completing this case, you should be able to answer this key question:
o How can data and analytics improve existing processes with your clients?
Key Learning Objectives:
o Explain how one can use data to refine, prioritize, and align project goals in the early stages of an analytics-driven project.
o Apply intuition about how data can be used to operate any business more effectively to a specific business.
o Assess the feasibility of analytics projects.
o Link a business problem to the appropriate analytics model.
o Provide appropriate recommendations regarding applying analytics to address specific business goals.
Skills / Knowledge
- Analytics
- Predictive Analytics
- Causal Analytics
- Machine Learning
- Artificial Intelligence (AI)
- Data Science
Issued on
July 29, 2020
Expires on
Does not expire