Lecture

Demand Forecasting: Methods & Cognitive Biases

In course

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Description

This lecture covers demand forecasting methods such as qualitative and quantitative approaches, including causal models, time series analysis, and cognitive biases that can affect decision-making. It explores steps like goal determination, data analysis, and forecasting techniques. The instructor discusses the importance of considering various factors in forecasting and the potential pitfalls of cognitive biases in decision-making processes.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_8sk27f7k

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Ontological neighbourhood

Statistics

Data analysis: Time series

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