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Author: Arthur G. Cook
Publisher: Gower
ISBN: 9781032838571
Category : Business & Economics
Languages : en
Pages : 0
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Book Description
The second edition of Forecasting for the Pharmaceutical Industry continues to be a definitive guide for forecasters as well as the multitude of decision makers and executives who rely on forecasts in their decision making. The author explores the pharmaceutical forecasting process; the varied tools and methods for new product and in-market forecas
Author: Arthur G. Cook
Publisher: CRC Press
ISBN: 1317134117
Category : Business & Economics
Languages : en
Pages : 234
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Book Description
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. 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. Arthur G. 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. The second edition has been updated throughout and includes a brand new chapter focusing on specialized topics such as forecasting for orphan drugs and biosimilars.
Author: M. A. Alwar
Publisher:
ISBN:
Category : Pharmaceutical industry
Languages : en
Pages : 136
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Book Description
Author: Arthur G. Cook
Publisher: Routledge
ISBN: 9780815389040
Category :
Languages : en
Pages : 160
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Book Description
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.
Author: Gary Johnson
Publisher:
ISBN: 9780953440429
Category : Drugs
Languages : en
Pages : 152
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Book Description
Author: John Lidstone
Publisher: Taylor & Francis
ISBN: 1351919768
Category : Business & Economics
Languages : en
Pages : 169
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Book Description
Marketing in the pharmaceutical and healthcare sector requires a particular set of skills; its intricacies mean planning is an essential prerequisite. The marketing planning system described in this book has been designed to enable marketing and product executives to produce a plan which serves as a dynamic management tool which will help them to get from where they are now to where they want to be next year and thereafter. Now in its second edition, this bestselling book has become the standard text for all product managers, marketing managers and directors working in this demanding industry. John Lidstone and Janice MacLennan have updated the book to embrace best current practice. A new orientation to external analysis and a reworking of the application of SWOT analysis, along with fresh material on sales forecasting and strategy implementation, bring the book up to date with current thinking and industry trends. Marketing Planning for the Pharmaceutical Industry is based on real life experience built up over many years. Each chapter takes the reader through the sequential stages of planning so that by the end they will be able to produce a practical plan ready for implementation. It is the only book of this type which tailors marketing to those working in the sector and as such is a unique, invaluable and indispensable resource.
Author: Biswajit Banik
Publisher: Independently Published
ISBN:
Category : Business & Economics
Languages : en
Pages : 0
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Book Description
In "Drug Sales Forecasting: Navigating Drug Sales Dynamics for Success," readers embark on a comprehensive journey through the intricate world of pharmaceutical sales forecasting. Authored by a seasoned industry expert, this book serves as an indispensable guide for professionals seeking to master the art and science of predicting drug sales accurately. From traditional statistical methods to cutting-edge forecasting techniques, this book covers a wide spectrum of methodologies, providing readers with a nuanced understanding of the complexities involved in forecasting drug sales. Through detailed explanations, practical examples, and insightful case studies, readers gain valuable insights into selecting the most appropriate forecasting approach for their specific needs and challenges. With a focus on practical application, the author demonstrates how to interpret market trends, analyze historical data, and leverage advanced analytics tools to develop robust forecasting models. Whether you're a pharmaceutical executive, sales manager, or analyst, this book equips you with the knowledge and skills needed to navigate the dynamic landscape of drug sales forecasting with confidence. Key topics covered in this book include: Overview of pharmaceutical sales forecasting methodologies Traditional statistical forecasting methods such as time series analysis and regression modeling Advanced forecasting techniques including machine learning algorithms and predictive analytics Incorporating market dynamics, regulatory factors, and competitor analysis into forecasting models Best practices for data collection, validation, and model evaluation Case studies highlighting successful applications of drug sales forecasting in real-world scenarios By delving into the nuances of drug sales forecasting, readers gain a competitive edge in optimizing inventory management, resource allocation, and strategic decision-making. Whether you're aiming to minimize risks, capitalize on opportunities, or drive business growth, "Drug Sales Forecasting: Navigating Drug Sales Dynamics for Success" empowers you to make informed decisions and achieve success in the dynamic pharmaceutical industry.
Author: Arthur G. Cook
Publisher: Routledge
ISBN: 1351158147
Category : Business & Economics
Languages : en
Pages : 179
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Book Description
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.
Author: Chantale Fortin
Publisher:
ISBN:
Category : Pharmaceutical industry
Languages : en
Pages : 112
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Book Description
Author: Louis Choo
Publisher:
ISBN:
Category : Pharmaceutical industry
Languages : en
Pages :
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Book Description
Author: Nawaz Ahmad
Publisher:
ISBN:
Category :
Languages : en
Pages : 7
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Book Description
This study aims to develop a stochastic framework of model to forecast future sales for pharmaceutical industry. In this regard, the study focuses on Merck Pharmaceutical monthly sales data. This study examines the Sale forecasting models. The study includes monthly data published in the annual reports of the company from Jan. 2008 to Dec. 2012. The time series diagram shows unequal means over the time period that suggests the data is stationary. Having transformed the data, ARMA (1, 1) model is applied which shows that there will be increase in sales by $6.784m given that in the last month sales were $1bn. On the contrary, last month's residual has an adverse effect on current month sales up to the extent of $432.942m. In this study AR (1) and MA (1) both the processes are significant at 1%.
