06701cam a2200901 i 4500 ocn841518549 OCoLC 20171106115818.0 m o d cr ||||||||||| 130429s2013 nju ob 001 0 eng 2013017551 9781118735640 (electronic bk.) 1118735641 (electronic bk.) 9781118735572 (electronic bk.) 1118735579 (electronic bk.) 9781118735510 111873551X 9781118669396 (cloth) 9781118691861 1118691865 1118669398 9781118669396 AU@ 000050881356 AU@ 000052908553 CHBIS 010027049 CHVBK 306232065 DEBBG BV041245227 DEBBG BV041573002 DEBSZ 397588186 DKDLA 820120-katalog:000664751 NLGGC 37073842X NZ1 15351128 DEBBG BV042742553 (OCoLC)841518549 (OCoLC)869214322 (OCoLC)880891537 (OCoLC)961669378 (OCoLC)962586748 CL0500000366 Safari Books Online 99CEEA45-A0DF-4EE8-B3F6-5F4AE9C76206 OverDrive, Inc. http://www.overdrive.com DLC eng rda pn DLC YDX N$T EBLCP DG1 MHW CUS YDXCP E7B DEBSZ B24X7 OCLCF UMI CDX AU@ OCLCO TEFOD OCLCQ TEFOD COO DG1 pcc MAIN HB3730 BUS 069030 bisacsh 330.01/12 23 Chase, Charles. Demand-driven forecasting : a structured approach to forecasting / Charles W. Chase, Jr. [electronic resource] Second edition. Hoboken, New Jersey : John Wiley & Sons, Inc., [2013] 1 online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier Wiley & SAS business series Includes bibliographical references and index. Demand-Driven Forecasting; Contents; Foreword; Preface; Acknowledgments; About the Author; Chapter 1 Demystifying Forecasting: Myths versus Reality; DATA COLLECTION, STORAGE, AND PROCESSING REALITY; ART-OF-FORECASTING MYTH; END-CAP DISPLAY DILEMMA; REALITY OF JUDGMENTAL OVERRIDES; OVEN CLEANER CONNECTION; MORE IS NOT NECESSARILY BETTER; REALITY OF UNCONSTRAINED FORECASTS, CONSTRAINED FORECASTS, AND PLANS; NORTHEAST REGIONAL SALES COMPOSITE FORECAST; HOLD-AND-ROLL MYTH; THE PLAN THAT WAS NOT GOOD ENOUGH; PACKAGE TO ORDER VERSUS MAKE TO ORDER; "DO YOU WANT FRIES WITH THAT?"; SUMMARY; NOTES. Chapter 2 What Is Demand-Driven Forecasting?TRANSITIONING FROM TRADITIONAL DEMAND FORECASTING; WHAT'S WRONG WITH THE DEMAND-GENERATION PICTURE?; FUNDAMENTAL FLAW WITH TRADITIONAL DEMAND GENERATION; RELYING SOLELY ON A SUPPLY-DRIVEN STRATEGY IS NOT THE SOLUTION; WHAT IS DEMAND-DRIVEN FORECASTING?; WHAT IS DEMAND SENSING AND SHAPING?; CHANGING THE DEMAND MANAGEMENT PROCESS IS ESSENTIAL; COMMUNICATION IS KEY; MEASURING DEMAND MANAGEMENT SUCCESS; BENEFITS OF A DEMAND-DRIVEN FORECASTING PROCESS; KEY STEPS TO IMPROVE THE DEMAND MANAGEMENT PROCESS. WHY HAVEN'T COMPANIES EMBRACED THE CONCEPT OF DEMAND-DRIVEN?Key Points; SUMMARY; NOTES; Chapter 3 Overview of Forecasting Methods; UNDERLYING METHODOLOGY; DIFFERENT CATEGORIES OF METHODS; HOW PREDICTABLE IS THE FUTURE?; SOME CAUSES OF FORECAST ERROR; SEGMENTING YOUR PRODUCTS TO CHOOSE THE APPROPRIATE FORECASTING METHOD; New Products Quadrant; Niche Brands Quadrant; Growth Brands Quadrant; Harvest Brands Quadrant; SUMMARY; NOTE; Chapter 4 Measuring Forecast Performance; "WE OVERACHIEVED OUR FORECAST, SO LET'S PARTY!"; PURPOSES FOR MEASURING FORECASTING PERFORMANCE. STANDARD STATISTICAL ERROR TERMSSPECIFIC MEASURES OF FORECAST ERROR; OUT-OF-SAMPLE MEASUREMENT; FORECAST VALUE ADDED; SUMMARY; NOTES; Chapter 5 Quantitative Forecasting Methods Using Time Series Data; UNDERSTANDING THE MODEL-FITTING PROCESS; INTRODUCTION TO QUANTITATIVE TIME SERIES METHODS; QUANTITATIVE TIME SERIES METHODS; MOVING AVERAGING; EXPONENTIAL SMOOTHING; SINGLE EXPONENTIAL SMOOTHING; HOLT'S TWO-PARAMETER METHOD; HOLT'S-WINTERS' METHOD; WINTERS' ADDITIVE SEASONALITY; Multiplicative versus Additive Seasonality; SUMMARY; NOTES; Chapter 6 Regression Analysis; REGRESSION METHODS. SIMPLE REGRESSIONCORRELATION COEFFICIENT; COEFFICIENT OF DETERMINATION; MULTIPLE REGRESSION; DATA VISUALIZATION USING SCATTER PLOTS AND LINE GRAPHS; CORRELATION MATRIX; MULTICOLLINEARITY; ANALYSIS OF VARIANCE; F-TEST; ADJUSTED R2; PARAMETER COEFFICIENTS; t-TEST; P-VALUES; VARIANCE INFLATION FACTOR; DURBIN-WATSON STATISTIC; INTERVENTION VARIABLES (OR DUMMY VARIABLES); REGRESSION MODEL RESULTS; KEY ACTIVITIES IN BUILDING A MULTIPLE REGRESSION MODEL; CAUTIONS ABOUT REGRESSION MODELS; SUMMARY; NOTES; Chapter 7 ARIMA Models; PHASE 1: IDENTIFYING THE TENTATIVE MODEL; Stationarity. Analysis of the Autocorrelation Plots. 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 (point-of-sale and syndicated scanner data) into the forecasting process. Demand-Driven Forecasting equips you with solutions that can sense, shape, and predict future demand using highly sophisticated methods and tools. From a review of the most basic forecasting methods to the most a. Print version record and CIP data provided by publisher. Economic forecasting. Business forecasting. Forecasting. Business forecasting. Economic forecasting. Forecasting. BUSINESS & ECONOMICS Economics Theory. bisacsh Business forecasting. fast (OCoLC)fst00842699 Economic forecasting. fast (OCoLC)fst00901942 Forecasting. fast (OCoLC)fst00931721 Electronic books. Electronic books. local Print version: Chase, Charles. Demand-driven forecasting. Second edition. Hoboken, New Jersey : John Wiley & Sons, Inc., [2013] 9781118669396 (DLC) 2013015670 Wiley and SAS business series. http://onlinelibrary.wiley.com/book/10.1002/9781118691861 Wiley Online Library ddc BK 206689 206689