WINNING STRATEGIES WEBINAR SERIES
SESSION I—VARIABILITY MATTERS
Before achieving statistical forecasting excellence, you must first consider an appropriate design for your analysis and initial model assignment. In the first session of our series, we cover the basics of demand variability and explore how coefficient of variance and different time horizons play into ABC/XYZ classification.
SESSION II—HOW MUCH DATA IS ENOUGH?
Understand how forecasting in weekly or monthly buckets and how your supply agility can impact the the amount of history necessary for analysis. Walk through a detailed setup from pulling data out of a planning system into Excel to analysis and sorting into historical horizon groupings. This second session sets the stage for statistical model assignment and execution.
SESSION III—SUPER MODEL FORECASTING
See examples of planning combinations and modeling results when running forecasts at different levels. Understand the rationale behind them so that you can apply the process to your company's situation. Learn the preparation and execution logic relevant for applying statistical modeling to your demand planning process.
SESSION II—FVA THE NEW FRONTIER
Learn the definition of FVA, see how to set it up and include it in regular monitoring as a part of your ongoing demand planning process. The statistical forecast build we have discussed in the first three sessions is applied to critically analyze resource investment to achieve your broader, corporate goals.
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