Provides guidance for sales and marketing managers involved in market planning, and uses case studies to explain effective forecasting techniques. Also offers suggestions on how to select the proper equipment, and contains a glossary of statistical terms commonly used in forecasting. Marketing NewsThis book is for the sales or marketing manager involved in market planning who must prepare sales forecasts and relate anticipated market conditions as well as promotional efforts to the forecast results. It offers practical guidance in forecasting with the personal computer using the casual method--a method based on the premise that the variable to be forecast has a casual or dependent relationship to one or more independent predictor variables. Based on this relationship, a linear regression equation is used to calculate forecast values. Berry fully explains the use of statistical techniques for the analysis of historical data in determining the specific economic factors responsible for obtained results.

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Bibliographic Details

Title: Forecasting Sales with the Personal Computer
Publisher: Bloomsbury Publishing Plc, US
Publication Date: 1988
Language: English
ISBN 10: 0899303293
ISBN 13: 9780899303291
Binding: Hardback
Condition: New

About this title

Synopsis

Provides guidance for sales and marketing managers involved in market planning, and uses case studies to explain effective forecasting techniques. Also offers suggestions on how to select the proper equipment, and contains a glossary of statistical terms commonly used in forecasting. Marketing News

This book is for the sales or marketing manager involved in market planning who must prepare sales forecasts and relate anticipated market conditions as well as promotional efforts to the forecast results. It offers practical guidance in forecasting with the personal computer using the casual method--a method based on the premise that the variable to be forecast has a casual or dependent relationship to one or more independent predictor variables. Based on this relationship, a linear regression equation is used to calculate forecast values. Berry fully explains the use of statistical techniques for the analysis of historical data in determining the specific economic factors responsible for obtained results.

About the Author

DICK BERRY directs the executive program in marketing at the University of Wisconsin's Management Institute.

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