The Business Forecasting Deal: Exposing Myths, Eliminating Bad Practices, Providing Practical Solutions
Written in a nontechnical style, this book provides practical solutions to common business forecasting problems, showing you how to think about business forecasting in the context of uncertainty, randomness and process performance.
- Addresses the philosophical foundations of forecasting
- Raises awareness of fundamental issues usually overlooked in pursuit of the perfect forecast
- Introduces a new way to think about business forecasting, focusing on process efficiency and the elimination of worst practices
- Provides practical approaches for the non-statistical problems forecasters face
- Illustrates Forecast Value Added (FVA) Analysis for identifying waste in the forecasting process
Couched in the context of uncertainty, randomness, and process performance, this book offers new, innovative ideas for resolving your business forecasting problems.
Foreword (Anne G. Robinson).
Chapter 1 Fundamental Issues in Business Forecasting.
The Problem of Induction.
The Realities of Business Forecasting.
What Is Demand?
Inherent Volatility and Artificial Volatility.
Evils of Volatility.
Evaluating Forecast Performance.
Embarking on Improvement.
Chapter 2 Worst Practices in Business Forecasting: Part 1.
Worst Practices in the Mechanics of Forecasting.
Model "Overfi tting" and "Pick-Best" Selection.
Confusing Model Fit with Forecast Accuracy.
Accuracy Expectations and Performance Goals.
Failure to Use a Naïve Model or Assess Forecast Value Added.
Chapter 3 Worst Practices in Business Forecasting: Part 2.
Worst Practices in the Process and Practices of Forecasting.
Politics of Forecasting.
Blaming the Forecast.
Adding Variation to Demand.
Overinvesting in the Forecasting Function.
Forecasting Performance Measurement and Reporting.
Forecasting Software Selection.
Editorial Comment on Forecasting Practices.
Chapter 4 Forecast Value Added Analysis.
What Is Forecast Value Added?
The Naïve Forecast.
Why Is FVA Important?
FVA Analysis: Step-by-Step.
Further Application of FVA Analysis.
Summary: The Lean Approach to Forecasting.
Chapter 5 Forecasting without History.
Typical New Product Forecasting Situations.
New Product Forecasting by Structured Analogy.
Chapter 6 Alternative Approaches to the Problems of Business Forecasting.
Supply Chain Engineering Approach.
Chapter 7 Implementing a Forecasting Solution.
Why Do Forecasting Implementations Fail?
Requesting Information or Proposals.
Evaluating Software Vendors.
Warning Signs of Failure.
Chapter 8 Practical First Steps.
Step 1: Recognize the Volatility versus Accuracy Relationship.
Step 2: Determine Inherent and Artificial Volatility.
Step 3: Understand What Accuracy Is Reasonable to Expect.
Step 4: Use Forecast Value Added Analysis to Eliminate Wasted Efforts.
Step 5: Utilize Meaningful Performance Metrics and Reporting.
Step 6: Eliminate Worst Practices.
Step 7: Consult Forecasting Resources.
Chapter 9 What Management Must Know About Forecasting.
Aphorism 1: Forecasting Is a Huge Waste of Management Time.
Aphorism 2: Accuracy Is Determined More by the Nature of the Behavior Being Forecast than by the Specific Method Being Used to Forecast It.
Aphorism 3: Organizational Policies and Politics Can Have a Significant Impact on Forecasting Effectiveness.
Aphorism 4: You May Not Control the Accuracy Achieved, But You Can Control the Process Used and the Resources You Invest.
Aphorism 5: The Surest Way to Get a Better Forecast Is to Make the Demand Forecastable.
Aphorism 6: Minimize the Organization’s Reliance on Forecasting.
Aphorism 7: Before Investing in a New System or Process, Put It to the Test.
Appendix Forecasting FAQs.
Performance Measurement and Reporting.
The Naïve Forecast.
Forecast Value Added Analysis.
Politics and Practices of Forecasting.
Low Volume/Intermittent Demand.
New Product Forecasting.