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IIF | CPDF III | Expert Level - Agile Forecasting Through Forecast Collaboration

IIF | CPDF III | Expert Level - Agile Forecasting Through Forecast Collaboration

SKU: CPDFIII

Agile Forecasting (Pro Level — Forecast Process Collaboration and Integration):

  1. Establish a framework for demand forecasting in the supply chain
  2. Introduce a four-step process for streamlining the forecasting cycle
  3. Define, interpret, visualize major demand forecasting techniques.
  4. Identify appropriate accuracy measures for evaluating demand forecasting methods and models.
  5. Complement established approaches with non-traditional methods in forecasting model development and evaluation

 

 

  • WHY YOU SHOULD ATTEND

    This is a certification program for demand forecasters and planners working in supply chain industries. The International Institute of Forecasters (IIF). This workshop is the masters level of the CPDF program is a 200 hours curriculum comprised of three modules.  The CPDF qualification will address multidimensional job roles in demand forecasting such as data display and validation, database management, dashboard display, understanding quantitative and qualitative projection techniques, model creation and execution, forecast accuracy measurement, model and forecaster performance analysis, organization, and collaborative planning.

     

    Each Level of the CPDF program consists of both instructor-led workshop training hours, and independent hours to be accomplished through self-paced e-learning environment.

     

    WHY STUDY WITH US?

    1. International trainers
    2. Trainers have long and global experience in demand management and forecasting.
    3. High quality and excellent style of delivery with participative debate and discussion, case studies.
    4. E-learning service through a unique Online Web Platform designed exclusively for CPDF Students.
    5. 100% Student pass rate, endorsed by past and present students in the region.
    6. Abilities to enhance local demand date with international experience and theories.
    7. Interchange demand forecasting experience management with local culture and knowledge.

     

    Get started today!

  • COURSE OPTIONS

    Public Classes | In-house customised sessions 

  • BOOK YOUR SEAT

    Booking or email us

  • WHO SHOULD ATTEND

    This workshop will benefit practitioners in all industries specifically with the following job responsibilities:

    • Demand Forecasters
    • Supply Chain Managers
    • Demand Planners
    • Supply Planners
    • Production Managers
    • Operations Managers
    • Financial Analysts
    • Market Analysts
    • Researchers
    • Forecasters
    • Economists
    • Strategists
    • Marketing and Sales Managers
  • COURSE OUTLINE

    Day 1

    Part I – The Globl Demand Forecasting and Planning Cycle in The Supply Chain

    • Concepts of Change and Chance in demand forecasting
    • Role of demand forecasting in the supply chain
    • Contrasting simple, complicated and complex processes
    • Understanding the perspective 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 1: Targeting the Environment– How to Assess the Drivers of Demand

    • Define factors affecting demand for GLOBL’s product lines
    • As a prelude to developing statistical forecasting models, how can you quantify the impact of a factor over time?
    • Evaluate the overall impact of the environment on 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 forecast
    • Establishing a database framework for efficient storage and retrieval of data and information

     

    Workshop 2: Understanding the Data Structure in the Forecasting Game

     

    Part III – Creating Rolling Baseline Forecasts for a Budget Forecasting Cycle

    • Improving the quality of data in preparation of a statistical forecast
    • Selecting the appropriate aggregation level at which 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

     

    Workshop 3: Adjusting Baseline Forecasts With Managed Overrides

     

    Day 2

    Part IV– Goals and Objectives of the Forecast Simulation Game

    • Define the objectives of the forecasting cycle
    • Recognize the drivers of demand
    • Create a rolling baseline forecast for a multi-period horizon
    • Evaluate forecasting performance over the horizon with multiple metrics
    • Recognize and document adjustments and overrides necessary to reflect changes in the business environment and updated assumptions
    • Re– forecast for another multi-period horizon
    • Re-evaluate forecasts (CHANGE), associated prediction limits (CHANCE), and base assumptions and a rationale for advice to management and forecast users

     

    Start of Competitive Forecasting Game

     

    Part IV– Goals and Objectives of the Forecast Simulation Game

    • Define the objectives of the forecasting cycle
    • Recognize the drivers of demand
    • Create a rolling baseline forecast for a multi-period horizon
    • Evaluate forecasting performance over the horizon with multiple metrics
    • Recognize and document adjustments and overrides necessary to reflect changes in the business environment and updated assumptions
    • Re– forecast for another multi-period horizon
    • Re-evaluate forecasts (CHANGE), associated prediction limits (CHANCE), and base assumptions and a rationale for advice to management and forecast users

     

    Part VI - Recap of Simulation Game

    • Presentation of Game Awards
    • Workshop Take Aways and Closing Remarks

     

     

  • ENTRY REQUIREMENTS

    • Degree or Job experience
    • Reasonable experience in MS Excel
    • Acceptable level of English language
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