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Forecasting in a Time of Uncertainty

Become more responsive and adaptable in your forecasting methods

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Last updated 2/2024
English

Overview

The days of “last year plus 3%” in forecasting are gone.

The COVID19 pandemic has 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?

Our “Forecasting in a Time of Uncertainty” webinar will help you build a path through the fog of uncertainty. We cannot solve all your problems, but we can give you some tips and guidelines to help you move in the right direction.

Our webinar will cover topics including:

  1. Revisiting the purpose of forecasting
  2. The problems of traditional approaches to forecasting
  3. Applying Agile principles to forecasting
  4. Criticisms of the Agile approach to forecasting
  5. Identifying the Levels of Performance
  6. Using simulation to test possible and likely outcomes
  7. Using Relative Forecasting

“Forecasting in a Time of Uncertainty” 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.

Who this course is for

  1. Accountancy students
  2. Management trainees
  3. Finance managers
  4. Accountants
  5. CFO
  6. Managers
  7. Finance Professionals

What you'll learn

  1. Tools and techniques to help them forecast in times of uncertainty
  2. The purpose of forecasting
  3. The problems of traditional approaches to forecasting
  4. How to become more agile in your forecasting
  5. Principles for Agile forecasting
  6. A Methodology for Agile Forecasting
  7. The Scrum Process
  8. Tools for Forecasting in times of Uncertainty
  9. Using simulation to explore possible outcomes
  10. Using Relative Forecasting

Requirements

There are no pre-course requirements.

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Course Content

1 Section 10 Lectures 60m total length

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