Day 1	Time	Instructor-led Hands-on Training Workshop
	9:00 AM	Part 1 - The GLOBL Demand Forecasting and Planning Cycle  in the Supply Chain Concepts of Change and Chance for capturing modeling and uncertainty in demand forecasting Role of demand forecasting in the supply chain Contrasting simple, complicated and complex processes Understanding the respective roles of demand forecasters, demand planners, and demand managers Establishing a Budget forecasting cycle for a forecasting simulation game The PEER model  Internal and external drivers of demand (good factors)
		Workshop 28: Targeting the Environment - How to Assess the Drivers of Demand
		Part II - Characterizing a Data Framework for Creating a Forecast Decision Support System Ways to characterize demand Types of activity being forecast Budget data for a rolling forecast Lead-times and rolling forecast horizons The on demand dashboard and forecasting system Who is the customer?: Determining forecasting requirements by organization Internal factors likely to influence forecasting Establishing a database framework for efficient storage and retrieval of data and information
		Coffee/Tea Break
		Computer Workshop 29: Understanding the Data Structure in the Forecasting Game
		Part III - Preparing the Baseline Forecasts for the Forecast Simulation Game Improving the quality of data in preparation of a statistical forecast Selecting the appropriate aggregation level at which statistical forecasts are to be generated Using a statistical forecasting engine to create unconstrained rolling baseline forecasts Allocating unit and revenue forecasts to lowest levels: SKU and customer/locations Recognizing the implications of making subjective judgments and overrides to multi-level forecasts
	PM	Lunch
		Computer Workshop 30: Executing Forecasting Models With a Large Dataset (Case Data)
		Part IV -Goals and Objectives of the Forecast Simulation Game Defining the objectives of the forecasting game Recognizing the drivers of demand Creating rolling baseline forecasts for a multi-period Evaluating forecasting performance over the horizon with multiple metrics Recognizing and documenting adjustments and overrides necessary to reflect changes in the business environment and current assumptions Reforecasting for multi-period horizons Re-evaluating forecasts in light of updated history Presenting forecasts (CHANGE) with associated prediction limits (CHANCE) Validating base assumptions and creating a rationale for advice to management and the forecast user community
		Coffee/Tea Break
		Forecast Simulation Game (Continued)
		Deadline for First Rolling Forecast in the Forecasting Cycle
Day 2	9:00 AM	Part V -  Bias and Precision: Establishing Forecast Error Metrics with Statistical Models Defining bias and precision as the basis for determining forecast accuracy Interpreting prediction limits in statistical models Indentifying accuracy measures for evaluating demand forecasts Defining Key Performance Indicators (KPI) for uses of forecasts
		Workshop 31:  Establishing Criteria for Evaluating Forecasts For The Case Data
		Coffee/Tea Break
		Deadline for Second Submission of the Rolling Forecast
	PM	Lunch
		Deadline for Submission of the Final Forecast
		Coffee/Tea Break
		Team Presentations
		Part VI - Recap of Simulation Game and Presentation of Game Awards to Winning Teams

After you complete this two-day instructor-led workshop, you will need to complete and submit six (6) self-paced computer workshop exercises re-enforcing the management principles, forecasting techniques and best practices used by demand forecasters worldwide to qualify for CPDF_Master certification. Upon completion of this phase your CPDF designation will increase your proficiency and stay competitive in your discipline, while enhancing your salary opportunities of your chosen profession. To register, complete e-Learning Registration form.