Develop skills in understanding the framework of today’s 
organizations and how data gets created inside and outside 
Supply Chain organizations.
Understand the role of (commercial) transactional software 
packages on how Supply Chain and Operations data gets entered 
and stored.
Learn how to use common tools to extract data from commercial 
Supply Chain modules and software packages, for example SQL 
queries, Excel Spreadsheets, Data Warehousing and Data 
Presentation and Visualization software.  Learn how these tools 
can be applied in Supply Chain Analytics environments.
Articulate assumptions and limitations of the techniques that 
are used in this course.
Identify potential associative and causal relationships between 
variables of interest.
Evaluate the suitability of available data for use in analysis.
Create reports and presentations for Supply Chain managers, 
other employees in an organization as well as outside entities 
that tell a story based on the data analytics.

Section 1 – Getting to and understanding Supply Chain data, 
warehousing and ERP systems review, SQL queries, analytics on
spreadsheets
Section 2 – Visualizing and exploring Supply Chain data, 
creating charts, storytelling with data
Section 3 – Supply Chain data case studies, analysis of the 
Supply Chain data, creating the hypotheses, building the 
presentation, finishing the presentation
Section 4 – Data mining and analysis, introduction to data 
mining, spreadsheet modeling and analysis, building a Supply 
Chain simulation, using data visualization software

All students are responsible for maintaining the highest 
standards of honesty and integrity in every phase of their 
academic careers. The penalties for academic dishonesty are 
severe, and ignorance is not an acceptable defense.
 
Academic honesty means performing all academic work without 
plagiarizing, cheating, lying, tampering, stealing, receiving 
assistance from any other person or using any source of 
information that is not common knowledge.