Name: forecasting sales with the personal computer: guidelines for marketing and sales managers (en Inglés)
Price: 141.00 EUR
Availability: InStock
Author: Berry, Dick
ISBN: 9780899303291

portada forecasting sales with the personal computer: guidelines for marketing and sales managers (en Inglés)

Formato

Libro Físico

Autor

Dick Berry

Editorial

Quorum Books

Año

1988

Idioma

Inglés

N° páginas

224

Encuadernación

Tapa Dura

Dimensiones

23.4 x 15.6 x 1.4 cm

Peso

0.49 kg.

ISBN

0899303293

ISBN13

9780899303291

Categorías

Gestión empresarial
Software empresarial

forecasting sales with the personal computer: guidelines for marketing and sales managers (en Inglés)

Dick Berry (Autor) · Quorum Books · Tapa Dura

Libro Nuevo

141,00 €

148,42 €

Ahorras: 7,42 €

5% descuento

Envío normal

Origen: Estados Unidos (Costos de importación incluídos en el precio)

Se enviará desde nuestra bodega entre el Jueves 16 de Mayo y el Miércoles 05 de Junio.

Lo recibirás en cualquier lugar de España entre 1 y 5 días hábiles luego del envío.

Reseña del libro "forecasting sales with the personal computer: guidelines for marketing and sales managers (en Inglés)"

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.