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.
Keywords: business forecasting, SAS Institute, the politics of forecasting, Forecast Value Added, FVA, FVA Analysis, business analytics, Fundamentals of Forecasting, Sales and Operations Planning, Tom Wallace, Anne Robinson, Sales Forecasting, forecasting performance measures, forecasting models, worst practices in forecasting, new product forecasting, forecasting software, demand volatility, na?ve models, overfitting, forecast accuracy, forecasting benchmarks, bias, outliers, inherent volatility, artificial volatility, lean forecasting, implementing software, demand smoothing, collaboration, forecasting metrics, MAPE, CPFR, S&OP