Forecasting in a Time of Uncertainty

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• Forecasting in a Time of Uncertainty 59:49

  • 1: Revisiting the Purpose of Forecasting 07:54
  • 2: Become More Agile 06:05
  • 3: A Methodology for Agile Forecasting 10:00
  • 4: Tools for Forecasting in Times of Uncertainty 03:24
  • 5: Simulation 1 05:58
  • 6: How do we Know our Data is Normally Distributed? 06:26
  • 7: Simulation 2 04:31
  • 8: Simulation 3 10:26
  • 9: Relative Forecasting 02:24
  • 10: Closing Remarks 02:41

The days of “last year plus 3%” in forecasting are gone. The COVID19 pandemic as pretty much destroyed planning and forecasting as we know it.

So what do we do? And how can we forecast in a time of uncertainty?

This course will help you become more responsive and adaptable in your forecasting methods and it will help you stress-test a wide range of possible outcomes, but there are no magic solutions.

Forecasting in a time of uncertainty is, by definition, unpredictable. This course will not give you a definite prediction – no one can do that – but it will help you get better at forecasting.

What Students will Learn

• The purpose of forecasting
• The problems of traditional approaches to forecasting
• How to become more agile in your forecasting
• Principles for Agile forecasting
• A Methodology for Agile Forecasting
• The Scrum Process
• Tools for Forecasting in times of Uncertainty
• Using simulation to explore possible outcomes
• Using Relative Forecasting

Accountants and finance professionals

Business managers

Students of business and finance

There are no pre-course requirements

There are currently no Q&As for this course. Be the first to ask a question.