Supply Chain Analytics

About this course

This Specialization integrates supply chain management with data analytics and AI-augmented decision-making. Through six courses spanning the source, make, move, and sell functions, you will learn to frame and solve problems, apply data analytics skills (visual storytelling and statistical analysis in Excel and Google Sheets), and critically interpret results to make sound business decisions. You will develop the critical thinking and human judgment needed to identify the right problem to solve and validate AI-generated outputs, so you can frame, solve and decide like a business-savvy, AI-ready supply chain analyst. Supply Chain Analytics Essentials: The financial impact of supply chains (the butterfly effect), supply chain pain points and how analytics may relieve them, job market trends and requirements. Business intelligence and Competitive Analysis: Problem framing and prioritization; breakdown and isolate the operational issues with the greatest financial stakes. Demand Analytics: Data analytics, visualization and interpretation for demand forecasting and planning. Inventory Analytics: Discover and solve inventory problems - an essential part of Sales & Operations Planning. Sourcing Analytics: Supplier intelligence, bargaining power analysis, and supplier benchmarking to identify the right suppliers globally. Supply Chain Analytics: Data analytics and interpretation to design and evaluate logistics and distribution strategies.

Course objectives

• integrate supply chain management with data analytics
• assess competitive environment using business intelligence
• identify pain points and apply analytics solutions