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Transforming Supply Chain Management and Performance Analysis

Special Note

This course is the first of 4 courses in the Supply Chain Analytics Professional (SCA) certificate.

The online version of the course is comprised of (4) half-day online instructor-led LIVE group webinars (March 6, 7, 8, 9 | 1-5pm ET) and pre-work (e.g. installing and testing software on your computer, testing connectivity with LMS and meeting software, etc.) to be completed before the first day of the course.

The onsite/in-person version of the course takes place on the Georgia Tech campus over 2 days.

Course discounts are available! For more information please email and mention which course you are interested in and which version (Online or Onsite/In-Person).

Course Description

This course is the first in the four-course Supply Chain Analytics Professional certificate program. It prepares you to apply leading-edge analytical methods and technology enablers across the supply chain. You’ll learn the dynamics of supply chains, the most relevant planning challenges, and the roles of different types of analytics. Next, you’ll learn about data cleansing, exploratory data analysis, and visualization. You’ll use Python and PowerBI to analyze the causes of underperformance and to build dashboards to visualize supply chain data. You will leave knowing how to gather, analyze, and prepare your data through descriptive analytics before you dig into deeper applications.

Who Should Attend

Experienced business professionals who perform or want to perform analytics to improve their supply chain management processes. They want to tackle strategic goals and to perform leading edge analytics projects that address the full complexity of supply chains.

How You Will Benefit

  • Understand the most relevant planning challenges across the strategic, tactical, and operational levels of supply chains
  • Learn the difference between analytics types, the links between them, and how to best use them to improve supply chain management (SCM) processes
  • Use Key Performance Indicators (KPIs) to find causes of underperformance in supply chains and to plan for analytics projects that will address strategic SCM goals
  • Utilize Python and PowerBI to understand, visualize, and analyze data in order to prepare for deeper analytics

What Is Covered

  • The role of analytics in SCM
  • Types of analytics (descriptive, diagnostic, predictive, and prescriptive) and the relationships between them
  • Preprocessing (cleaning and integrating) data as it relates to SCM
  • Conducting exploratory data analysis on supply chain data
  • Best practices for visualizing data and building dashboards
  • Identifying and analyzing KPIs of SCM
  • Hands-on practice with these skills using data from the (fictional) Cardboard Company (CBC)

Below is format for the online/virtual-Instructor led version of the course.

Webinar 1 – Using Analytics to Transform Supply Chain Management
Overview of analytics transforming supply chain management
  • Introduction to SCM and analytics
  • Most relevant planning challenges across strategic, tactical, and operational levels
Different types of analytics
  • Descriptive, diagnostic, predictive, prescriptive
  • How the types relate to each other and to SCM
Data preprocessing (cleaning and integrating)
Activity: Introduce the Cardboard Company (CBC) case and begin preprocessing CBC’s data
Homework: Finish data preprocessing for CBC case
Webinar 2 – Exploratory Data Analysis for Supply Chain Data
Data preprocessing for EDA
Why EDA is important
Conducting EDA
  • Types of data
  • Pareto concept
  • Basic visualization
Activity: Understand the data available for the CBC case
Homework: Complete EDA on CBC data
Webinar 3 – Visualization of Supply Chain Data
Various visualization techniques
  • Applying those techniques in PowerBI
  • Best data visualization practices
Designing user-friendly dashboards
Activity: Create a dashboard for CBC sales and deliveries data
Homework: Complete first draft of your CBC dashboard
Webinar 4 – Key Performance Indicators in Supply Chain Management
Identifying KPIs in SCM
  • Common KPIs
  • Identifying additional KPIs
Analyzing KPIs
  • Understanding KPI choices
  • KPIs in descriptive analytics
  • Using KPIs to plan analytics projects
Activity: identify and add KPIs to your CBC dashboard
Final assignment (due 1 week after last webinar)
  • Complete your CBC dashboard
  • Create an explanation of your dashboard to an end user
  • Create an explanation of your dashboard choices for the instructors
  • Complete final assessment

Course Materials


  • Canvas Learning Management System - Visit to ensure the computer you will be using meets the minimum technical requirements to access online material and lessons associated with this course.
  • Zoom using both audio and video - Please visit​​​​​​ to ensure the computer you will be using is compatible.
  • Python installed on local computer with additional packages identified by the instructors
  • Power BI installed on local computer


  • A URL, username and password to access the online course material
  • Optional 2-Hour Online Preparation Seminar offered one week prior to course start which will provide a high-level overview of the software that will be used during the course.
    • Course software: Canvas and video conferencing services
    • Python: Installation and Basics
    • PowerBI: Installation and Basics

Course Prerequisite and Related Certificate Information


  • General SCM knowledge
  • A general understanding of probability
  • Basic Python / Programming experience
  • Basic PowerBI experience

For those interested in earning the Supply Chain Analytics (SCA) Professional Certificate, take the below 4 courses within four years.

  1. Transforming Supply Chain Management and Performance Analysis
  2. Creating Business Value with Statistical Analysis
  3. Machine Learning Applications for Supply Chain Planning
  4. Supply Chain Optimization and Prescriptive Analytics

This course can also be used as an elective towards the Supply and Demand Planning (SDP) certificate.

Course CEUs

This course provides for 2.00 continuing education units (CEUs).

Course Instructors

Course Fees

Standard: $1,400.00, Alumni/Org Discount: $1,260.00, Certificate: $1,162.00 (cost of each course when signing up for and paying for a multi-course certificate program).

First time attendees pay the listed Course Fee. If you are a returning student of the Supply Chain & Logistics Institute (SCL) courses (or are active/retired military), you will receive a 10% discount when you enter the coupon code SCL-Alum on the "Check Out" page. If you register and pay for all required courses in a Supply Chain & Logistics certificate in one single transaction, you can receive a discount of 17% off each course by entering the coupon code SCL-Cert on the "Check Out" page. There are also discounts available for multiple-team member registrations or to members of certain organizations.

Discounts cannot be combined. For questions, call 404-894-2343 or send us an email prior to registration.

The program fee for LIVE courses (non-online) includes continental breakfasts, lunches, breaks, parking, internet access, and all classroom materials.

If the Supply Chain & Logistics Institute must cancel a program, registrants will receive a full refund. Georgia Tech, however, cannot assume the responsibility for other costs incurred. Due to program enrollment limits, early registration is encouraged. Registrations will be acknowledged by a letter of confirmation from Professional Education.

Course Times

Online/Virtual-Instructor led 

On the first day, please log in at least 15 minutes before the class start time.

  • First Day - 1pm to 5pm ET
  • ​Second Day - 1pm to 5pm ET
  • Third Day - 1pm to 5pm ET
  • Fourth Day - 1pm to 5pm ET

On the first day, please arrive 30 minutes before the class start time.

  • First Day - 8am to 5pm ET
  • ​Second Day - 8am to 5pm ET


March 6, 2023 to March 9, 2023
Virtual (Instructor-led)

An interview with Daphne de Poot, one of the SCA course series instructors.

ISyE location map

Georgia Tech Supply Chain and
Logistics Institute
H. Milton Stewart School of
Industrial & Systems Engineering
765 Ferst Drive, NW, Suite 228
Atlanta, GA 30332
Phone: 404.894.2343