Book description
Praise for Demand-Driven Forecasting
A Structured Approach to Forecasting
"There are authors of advanced forecasting books who take an
academic approach to explaining forecast modeling that focuses on the
construction of arcane algorithms and mathematical proof that are not
very useful for forecasting practitioners. Then, there are other
authors who take a general approach to explaining demand planning, but
gloss over technical content required of modern forecasters. Neither
of these approaches is well-suited for helping business forecasters
critically identify the best demand data sources, effectively apply
appropriate statistical forecasting methods, and properly design
efficient demand planning processes. In Demand-Driven Forecasting,
Chase fills this void in the literature and provides the reader with
concise explanations for advanced statistical methods and credible
business advice for improving ways to predict demand for products and
services. Whether you are an experienced professional forecasting
manager, or a novice forecast analyst, you will find this book a
valuable resource for your professional
development."
-Daniel Kiely, Senior Manager, Epidemiology,
Forecasting & Analytics, Celgene Corporation
"Charlie Chase has given forecasters a clear, responsible
approach for ending the timeless tug of war between the need for
'forecast rigor' and the call for greater inclusion of 'client
judgment.' By advancing the use of 'domain knowledge' and hypothesis
testing to enrich base-case forecasts, he has empowered professional
forecasters to step up and impact their companies' business results
favorably and profoundly, all the while enhancing the organizational
stature of forecasters broadly."
-Bob Woodard, Vice
President, Global Consumer and Customer Insights, Campbell Soup
Company
Charles W. Chase, Jr., is the Business Enablement
Manager at SAS Manufacturing and Supply Chain Global Practice, 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.
