Foundations of Supply Chain Data Analytics

Modern businesses rely on efficient supply chains to deliver products on time and minimize costs, making data-driven decision-making more critical than ever. This course introduces you to the essential metrics and analytical techniques used to optimize supply chain performance. By reading and working through the practical scenarios in this text-based course, you will transition from a beginner to a confident analyst capable of identifying supply chain bottlenecks, forecasting demand, and improving inventory efficiency. You will learn how to interpret key performance indicators (KPIs) and turn raw logistics data into actionable business recommendations. What you'll learn: - Understand fundamental supply chain terminology, lifecycle stages, and the role of data analytics in logistics. - Analyze inventory levels, safety stock, and turnover rates to optimize warehouse management. - Apply basic forecasting methods to predict customer demand and prevent stockouts. - Evaluate supplier performance and procurement metrics using structured data analysis. - Explore modern supply chain trends, including predictive analytics and tracking sustainability metrics. The journey begins with core supply chain definitions and logistics concepts before progressing to hands-on data modeling and practical business scenarios. You will read through realistic case studies that simulate the day-to-day challenges of a supply chain analyst. This course is designed for absolute beginners, aspiring data analysts, and logistics professionals looking to build data literacy with no prior analytics experience required. Start reading today to build the foundational skills needed for a rewarding career in supply chain analytics.