An updated new edition of the comprehensive guide to better business forecasting Many companies still look at quantitative forecasting methods with suspicion, but a new awareness is emerging across many industries as more businesses and professionals recognize the value of integrating demand data (p
Demand-driven forecasting : a structured approach to forecasting
β Scribed by Charles W. Chase Jr
- Publisher
- John Wiley & Sons
- Year
- 2009
- Tongue
- English
- Leaves
- 291
- Series
- Wiley and SAS business series
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
A detailed guide on the process of improving business forecasting This practitioner-focused book provides readers with real, proven processes, methodologies, and performance metrics that can be applied immediately with significant improvement in forecast accuracy. Filled with real-life examples and case studies to illustrate both best-in-class approaches as well as initial start-up approaches, it features coverage of topics including myths versus reality of forecasting, how to perform a strategic value assessment, and cultural barriers in forecasting. Focused on the implementation and integration of sales forecasting and marketing analysis, this book outlines a systematic approach that is a data-based, mathematically derived framework using domain knowledge to facilitate "what if" simulations for strategic/tactical planning. Charles Chase (Cary, NC) is the Business Enablement Manager for SAS Manufacturing and Supply Chain Global Practice
β¦ Table of Contents
Content: Demystifying forecasting : myths versus reality --
What is demand-driven forecasting? --
Overview of forecasting methods --
Measuring forecast performance --
Quantitative forecasting methods using time series data --
Quantitative forecasting methods using causal data --
Weighted combined forecasting methods --
Sensing, shaping, and linking demand to supply : a case study using MTCA --
Strategic value assessment : assessing the readiness of your demand forecasting process.
β¦ Subjects
Economic forecasting. Business forecasting. Forecasting. Nachfrageverhalten. Prognose. Prognosemodell. Theorie.
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