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Business/Investing Forecasting for the Pharmaceutical Industry: Models for New Product And In-market Forecasting And How to Use Them

Posted on 2010-03-16




Name:Business/Investing Forecasting for the Pharmaceutical Industry: Models for New Product And In-market Forecasting And How to Use Them
ASIN/ISBN:0566086751
Language:English
File size:2.41 Mb
Publisher: Gower
ISBN: 0566086751
Publish Date: edition 2006
File Type: PDF
Pages: 141 pages
File Size: 2,41 mb
   Business/Investing Forecasting for the Pharmaceutical Industry: Models for New Product And In-market Forecasting And How to Use Them



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Forecasting for the Pharmaceutical Industry: Models for New Product And In-market Forecasting And How to Use Them

By Arthur G., Ph.D. Cook


In virtually every decision, a pharmaceutical executive considers some type of forecast. This process of predicting the future is crucial to many aspects of the company - from next month's production schedule, to market estimates for drugs in the next decade. The pharmaceutical forecaster needs to strike a delicate balance between over-engineering the forecast - including rafts of data and complex 'black box' equations that few stakeholders understand and even fewer buy into - and an overly simplistic approach that relies too heavily on anecdotal information and opinion. Art Cook's highly pragmatic guide explains the basis of a successful balanced forecast for products in development as well as currently marketed products. The author explores the pharmaceutical forecasting process; the varied tools and methods for new product and in-market forecasting; how they can be used to communicate market dynamics to the various stakeholders; and the strengths and weaknesses of different forecast approaches. The text is liberally illustrated with tables, diagrams and examples. The final extended case study provides the reader with an opportunity to test out their knowledge. "Forecasting for the Pharmaceutical Industry" is a definitive guide for forecasters as well as the multitude of decision makers and executives who rely on forecasts in their decision making.

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