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SAS Books - Charles Chase Author Page

About Charles Chase

Charles Chase author photo
As Advisory Industry Consultant, Charles Chase is the principal solutions architect and thought leader for delivering demand planning and forecasting solutions to improve supply chain efficiencies for SAS customers. Chase has more than 20 years of experience in the consumer packaged goods industry, and is an expert in sales forecasting, market response modeling, econometrics, and supply chain management.

Prior to working as Chief Industry Consultant, Chase led the strategic marketing activities in support of the launch of SAS Forecast Server, which won the "Trend-Setting Product of the Year" award for 2005 by KM World magazine. Chase launched SAS Demand-Driven Forecasting Solution in 2008, which is now used by more than 40 other large corporations globally including Electrolux, ConAgra Foods, Kellogg's, Nestle, and others. He has also been involved in the re-engineering, design, and implementation of three forecasting/marketing intelligence process/systems. His employment history includes the MENNEN Company, Johnson & Johnson Consumer Products Inc., Reckitt & Benckiser Inc., the Polaroid Corporation, Coca Cola, Wyeth-Ayerst Pharmaceuticals, and Heineken USA.

Chase's authority in the area of forecasting/modeling and advanced marketing analytics is further exemplified by his prior posts as president of the International Association of Business Forecasting, associate editor of the Journal of Business Forecasting, and chairperson of the Institute of Business Forecasting (IBF) Best Practices Conferences. He has authored more than 50 articles in the area of sales forecasting and market response modeling in several trade journals. He has been an invited guest lecturer at several major universities, including the Fuqua School of Business, Duke University; Sloan School of Management, MIT; and the Institute of Retail Management, Templeton College, University of Oxford. Chase has also been named "2004 Pro to Know" in the 2004 February/March issue of Supply & Demand Chain Executive Magazine.

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You may also be interested in Bob Davis's book, Demand-Driven Inventory Optimization and Replenishment: Creating a More Efficient Supply Chain.

blog Centralize or Decentralize the Statistical Baseline Forecast?
blog The Myths and Realities of Demand Managementů
blog New world of demand management
Article Certified Professional Forecaster (CPF): Institute of Business Forecasting
Article Read more about Demand-Driven Forecasting in this article by Dr. Larry Lapide in the Journal of Business Forecasting
Awards
Award Winner, Institute of Business Forecasting 2013 Lifetime Achievement Award in Business Forecasting & Planning
Coming Soon!

Next Generation Demand Management: People, Process, Analytics, and Technology
Next Generation Demand Management: People, Process, Analytics, and Technology
By Charles W. Chase

Anticipated publication date: Third quarter 2016

Next Generation Demand Management: People, Process, Analytics, and Technology, by Charles W. Chase, is the state-of-the-art guidebook for taking demand management to the next level by streamlining your entire organization to achieve higher profits. The proven framework inside provides world-class guidance for confidently managing the people, processes, analytics, and technology that drive improved revenue forecasts for exceptional profitability.

With this single resource, you can implement a multi-step operational supply chain management process and champion the critical shift in leadership and corporate culture necessary to drive adoption and accountability, while never losing focus on continually improving customer excellence. Financial and forecasting professionals at large multinationals, early startups, and every size company in between can master the key principles of demand-driven planning; identify the new mindset, skillset, and processes companies use to run successful supply chains; choose the best scalable technology and analytics; and align inventory with demand and increase channel profitability.

Next Generation Demand Management gives you everything you need for efficiently implementing a profitable supply chain framework and supporting the best practices for getting the most out of it.

By This Author

Demand-Driven Forecasting: A Structured Approach to Forecasting, Second Edition book cover Demand-Driven Forecasting: Chinese version book cover

Demand-Driven Forecasting: A Structured Approach to Forecasting, Second Edition

Table of Contents (PDF) Excerpt (PDF) Reviews Buy now

Demand-Driven Forecasting: A Structured Approach to Forecasting, Second Edition (Chinese edition)

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Bricks Matter: The Role of Supply Chains in Building Market-Driven Differentiation book cover Demand-Driven Forecasting: A Structured Approach to Forecasting book cover

Bricks Matter: The Role of Supply Chains in Building Market-Driven Differentiation

By Lora M. Cecere and Charles Chase
Table of Contents (PDF) Excerpt (PDF) Reviews Buy now

Demand-Driven Forecasting: A Structured Approach to Forecasting

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Articles

Articles by Charlie Chase from the Journal of Business Forecasting:

Article Charles Chase, Jr., Why Haven't We Kept Pace with Innovation?," Journal of Business Forecasting 34, no. 2 (Fall 2015): 17-26.
Article Charles Chase, Jr., "Cleanse Your Historical Shipment Data? Why?," Journal of Business Forecasting 34, no. 2 (Summer 2015): 29-33.
Article Charles Chase, Jr., "Using Downstream Data to Improve Forecast Accuracy," Journal of Business Forecasting 34, no. 1 (Spring 2015): 21-29.
Article Charles Chase, Jr., "Innovations in Business Forecasting," Journal of Business Forecasting 33, no. 3 (Fall 2014): 22-34.
Article Charles Chase, Jr., "Innovations in Business Forecasting,"Journal of Business Forecasting 33, no. 1 (Spring 2014): 29-34.
Article Charles Chase, Jr., "Innovations in Business Forecasting: Predictive Analytics," Journal of Business Forecasting 33, no. 2 (Summer 2014): 14-19.
Article Charles Chase, Jr., "Using Demand Sensing and Shaping to Improve Demand Forecasting," Journal of Business Forecasting 32, no. 4 (Winter 2013-2014): 24-31.