The Forecast Value Added Analysis training course provides step-by-step guidelines for conducting FVA analysis to identify and eliminate the waste, inefficiency, and worst practices in your forecasting process. The result can be better forecasts, with fewer resources and less management time spent on forecasting.
By attending Forecast Value Added Analysis workshop, delegates will learn to:
- Map forecasting process
- Gather, organize, and store required data
- Determine the volatility and forecastability of demand patterns
- Visualize the data
- Create the "comet chart" relating forecast accuracy to volatility
- Analyze the data using simple methods from statistical process control
- Identify worst practices and other non-value adding activities
- Report FVA results
- Eliminate wasted efforts and streamline forecasting process
- Set reasonable forecasting performance objectives and expectations
Basic statistical concepts like mean and standard deviation, randomness, and variability.
This Forecast Value Added Analysis class is suitable for Forecasters, demand planners, and business analysts in any industry, as well as managers overseeing the business forecasting function.