Demand-Driven Forecasting: A Structured Approach to Forecasting

Chase, Charles W., Jr.

ISBN 10: 0470415029 / ISBN 13: 9780470415023

Edité par John Wiley & Sons Inc, 2009

A propos de cet article

The item shows wear from consistent use, but it remains in good condition and works perfectly. All pages and cover are intact including the dust cover, if applicable . Spine may show signs of wear. Pages may include limited notes and highlighting. May NOT include discs, access code or other supplemental materials.

N° de réf. du vendeur BVV.0470415029.G

Détails bibliographiques

• Titre: Demand-Driven Forecasting: A Structured Approach to Forecasting
• Éditeur: John Wiley & Sons Inc
• Date de parution: 2009
• Langue: anglais
• ISBN à 10 chiffres: 0470415029
• ISBN à 13 chiffres: 9780470415023
• Reliure: Couverture rigide
• État de l'article: good

A propos de ce titre

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.

À propos de l?auteur

Charles W. Chase, Jr ., is the Advisory Industry Consultant and Subject Matter Expert, SAS Institute Inc., where he is the principal architect and strategist for delivering demand planning and forecasting solutions to improve SAS customers' supply chain efficiencies. He has more than twenty-six years of experience in the consumer packaged goods industry, and is an expert in sales forecasting, market response modeling, econometrics, and supply chain management.