


FOR COMPLETION OF
CERTIFICATE AWARDED TO
Eduardo Noriaki Hirata Nazima
NU 201: Applying Analytics and Artificial Intelligence
July 2022

FRANCESCA CORNELLI
THOMAS O'TOOLE
Dean, Kellogg School of Management
Donald P. Jacobs Professor of Finance
Associate Dean of Executive Programs
Clinical Professor of Marketing
B2B Case: Hagane Steel Manufacturing

Credential ID: 54814513
Eduardo Noriaki Hirata Nazima
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 15, 2022
Expires on
Does not expire