Author: Arthur G., Ph.D. Cook
Edition: 1
Binding: Hardcover
ISBN: 0566086751
Edition: 1
Binding: Hardcover
ISBN: 0566086751
Forecasting for the Pharmaceutical Industry: Models for New Product And In-market Forecasting And How to Use Them
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 Buy Forecasting for the Pharmaceutical Industry by Arthur G. Cook and Read this Book on Kobo's Free Apps. Discover Kobo's Vast Collection of Ebooks Today - Over 3 Million Titles, Including 2 Million Free Ones! Read medical textbooks online like Forecasting for the Pharmaceutical Industry here
Forecasting for the Pharmaceutical Industry: Models for New Product And In-market Forecasting And How to Use Them
Forecasting for the Pharmaceutical Industry: Models for New Product And In-market Forecasting And How to Use Them - Arthur G. Cook
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 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.
Forecasting for the Pharmaceutical Industry Online
The author explores
