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.
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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.
Praise for Demand-Driven Forecasting
A Structured Approach to Forecasting
Many companies still view quantitative forecasting methods as a "black box" or unknown approach that adds little value to improving overall demand forecast accuracy. Fortunately, there is a new awareness emerging across many industries of the value of integrating demand data into the demand forecasting process.
Equipping you with solutions that can sense, shape, and predict demand using highly sophisticated methods and tools, internationally renowned author and thought leader Charles Chase provides you with a basic understanding of the methods and processes required to implement a demand-driven forecasting process in Demand-Driven Forecasting:A Structured Approach to Forecasting.
From a review of the most basic forecasting methods, to the most advanced time-series methods, and innovative techniques in use today, this guide defines demand-driven forecasting, uniquely offering a fundamental understanding of the quantitative methods used to sense, shape, and predict demand within a structured process.
A must-read for CEOs, CMOs, CFOs, supply chain managers, sales managers, marketing brand managers, and demand forecasting analysts,Demand-Driven Forecasting: A Structured Approach to Forecasting covers:
Myths versus realities of forecasting
Causes of forecast error
Purposes for measuring forecasting performance
Forecasting methods using causal data
Sensing, shaping, and linking demand to supply
Combining analytics and domain knowledge in a structured framework
As a forecast practitioner, it's up to you to demonstrate the value of analytics to senior-level managers. Filled with real-life examples to build a business case for the justification of demand-driven forecasting, Demand-Driven Forecasting: A Structured Approach to Forecasting is your detailed blueprint to better understand this new structured approach and add significant improvement to demand forecast accuracy.
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