Supply Chain Analytics

What it covers

The course treats analytics as a working tool for supply chains rather than a separate subject. Its skill list spans descriptive and predictive analytics, demand planning and forecasting, along with the less glamorous groundwork: data governance, data management and the data lakes that hold it. Presenting results is treated as a skill of its own, through data storytelling.

Who benefits

Planners and analysts who already handle supply data but want a structured way to turn it into decisions will find the most value here. Some comfort with charts and spreadsheets will help, though the material is introductory.

Practical takeaways

• Good forecasts depend on clean, well-governed data.
• Descriptive reporting and predictive models answer different questions and work best used together.
• A forecast only helps if the people acting on it can understand how it was built.