Course Description
Fundamental concepts and software tools needed to understand and gain practical experience in the emerging fields of big data and business analytics in organizations, with specific emphasis on the requirements and context of Supply Chain and Operations Management.
Athena Title
Supply Chain Analytics
Prerequisite
MGMT 3000 or MGMT 3000E or MGMT 3000H
Semester Course Offered
Offered every year.
Grading System
A - F (Traditional)
Course Objectives
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.
Topical Outline
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
Syllabus