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Forecasting for the Pharmaceutical Industry
A01=Arthur G. Cook
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Author_Arthur G. Cook
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Category1=Non-Fiction
Category=KND
COP=United States
Delivery_Pre-order
demand forecasting methods
Demand Sales
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eq_business-finance-law
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Ex-factory Sales
Forecast Algorithm
Forecast Potential
Historical Data Points
Holistic Painter
in-market
In-Market Forecasting
Intervention Triangles
Language_English
Lower Point Estimate
market modelling techniques
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patient data analysis
Patient Flow Models
Patient Pool
Patient Share
Peak Share
pharmaceutical analytics
pharmaceutical case studies
Pharmaceutical Forecasting
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Price_€100 and above
Product Forecast
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quantitative forecasting in pharma industry
revenue projection strategies
ROI
ROI Analysis
Short Manufacturing Lead Times
softlaunch
Strategic Forecasting
therapy
Therapy Area
Tornado Diagrams
Trending Historical Data
Waterfall Diagrams
Product details
- ISBN 9780815389040
- Weight: 460g
- Dimensions: 172 x 244mm
- Publication Date: 20 Nov 2017
- Publisher: Taylor & Francis Inc
- Publication City/Country: US
- Product Form: Hardback
- Language: English
Delivery/Collection within 10-20 working days
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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.
Arthur G. Cook
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