Course Overview
Supply Chain Analytics is revolutionizing industries by providing end-to-end visibility and actionable insights. This course covers analytics for sourcing, manufacturing, logistics, and more—empowering you to make smarter, data-driven decisions and drive business growth. You will learn real-life examples of analytics in selling, logistics, production, and sourcing, and how to use dashboards and scorecards to elevate supply chain performance to C-level decision-makers. The course explores optimization, simulation, and sensitivity testing for supply chain strategy.
What You Will Learn
- Types of analytics: descriptive, diagnostic, predictive, prescriptive
- Role of analytics in supply chain management (SCM)
- Preprocessing and integrating supply chain data
- Exploratory data analysis for SCM
- Identifying and analyzing SCM KPIs
- Solving real-world analytical problems
- Defining objectives for analytics projects
- Working with different data types
- Using charts, graphs, and analytics tools for insights
Outcomes
- Discuss planning challenges at all supply chain levels
- Explain analytics types and their use in SCM
- Use KPIs to diagnose and improve supply chain performance
- Understand the value of data visualization for business decisions
- Apply descriptive, predictive, and prescriptive analytics in SCM
