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Author: Gary Johnson
Publisher:
ISBN: 9780953440429
Category : Drugs
Languages : en
Pages : 152
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Book Description
Author: Gary Johnson
Publisher:
ISBN: 9780953440429
Category : Drugs
Languages : en
Pages : 152
Get Book Here
Book Description
Author: Arthur G. Cook
Publisher: CRC Press
ISBN: 1317134109
Category : Business & Economics
Languages : en
Pages : 323
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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: 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: 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: Rob J Hyndman
Publisher: OTexts
ISBN: 0987507117
Category : Business & Economics
Languages : en
Pages : 380
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Book Description
Forecasting is required in many situations. Stocking an inventory may require forecasts of demand months in advance. Telecommunication routing requires traffic forecasts a few minutes ahead. Whatever the circumstances or time horizons involved, forecasting is an important aid in effective and efficient planning. This textbook provides a comprehensive introduction to forecasting methods and presents enough information about each method for readers to use them sensibly.
Author: Frank S. David
Publisher: Pharmagellan, LLC
ISBN: 9780998407500
Category : Business & Economics
Languages : en
Pages : 138
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Book Description
If you're a biotech executive, investor, deal maker, entrepreneur, or adviser-or aspire to be one-then you need to know how to build and analyze forecasts and valuation models of R&D-stage drugs. The Pharmagellan Guide is a comprehensive, thoroughly referenced handbook for early-stage biopharma assets and companies.
Author: Min Ding
Publisher: Springer Science & Business Media
ISBN: 1461478014
Category : Medical
Languages : en
Pages : 763
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Book Description
The pharmaceutical industry is one of today’s most dynamic and complex industries, involving commercialization of cutting-edge scientific research, a huge web of stakeholders (from investors to doctors), multi-stage supply chains, fierce competition in the race to market, and a challenging regulatory environment. The stakes are high, with each new product raising the prospect of spectacular success—or failure. Worldwide revenues are approaching $1 trillion; in the U.S. alone, marketing for pharmaceutical products is, itself, a multi-billion dollar industry. In this volume, the editors showcase contributions from experts around the world to capture the state of the art in research, analysis, and practice, and covering the full spectrum of topics relating to innovation and marketing, including R&D, promotion, pricing, branding, competitive strategy, and portfolio management. Chapters include such features as: · An extensive literature review, including coverage of research from fields other than marketing · an overview of how practitioners have addressed the topic · introduction of relevant analytical tools, such as statistics and ethnographic studies · suggestions for further research by scholars and students The result is a comprehensive, state-of-the-art resource that will be of interest to researchers, policymakers, and practitioners, alike.
Author: G. Elliott
Publisher: Elsevier
ISBN: 0444513957
Category : Business & Economics
Languages : en
Pages : 1071
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Book Description
Section headings in this handbook include: 'Forecasting Methodology; 'Forecasting Models'; 'Forecasting with Different Data Structures'; and 'Applications of Forecasting Methods.'.
Author: Michael Gilliland
Publisher: John Wiley & Sons
ISBN: 1119782473
Category : Business & Economics
Languages : en
Pages : 435
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Book Description
Discover the role of machine learning and artificial intelligence in business forecasting from some of the brightest minds in the field In Business Forecasting: The Emerging Role of Artificial Intelligence and Machine Learning accomplished authors Michael Gilliland, Len Tashman, and Udo Sglavo deliver relevant and timely insights from some of the most important and influential authors in the field of forecasting. You'll learn about the role played by machine learning and AI in the forecasting process and discover brand-new research, case studies, and thoughtful discussions covering an array of practical topics. The book offers multiple perspectives on issues like monitoring forecast performance, forecasting process, communication and accountability for forecasts, and the use of big data in forecasting. You will find: Discussions on deep learning in forecasting, including current trends and challenges Explorations of neural network-based forecasting strategies A treatment of the future of artificial intelligence in business forecasting Analyses of forecasting methods, including modeling, selection, and monitoring In addition to the Foreword by renowned researchers Spyros Makridakis and Fotios Petropoulos, the book also includes 16 "opinion/editorial" Afterwords by a diverse range of top academics, consultants, vendors, and industry practitioners, each providing their own unique vision of the issues, current state, and future direction of business forecasting. Perfect for financial controllers, chief financial officers, business analysts, forecast analysts, and demand planners, Business Forecasting will also earn a place in the libraries of other executives and managers who seek a one-stop resource to help them critically assess and improve their own organization's forecasting efforts.
Author: Marina Astitha
Publisher: Elsevier
ISBN: 0128202432
Category : Science
Languages : en
Pages : 359
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Book Description
Extreme Weather Forecasting reviews current knowledge about extreme weather events, including key elements and less well-known variables to accurately forecast them. The book covers multiple temporal scales as well as components of current weather forecasting systems. Sections cover case studies on successful forecasting as well as the impacts of extreme weather predictability, presenting a comprehensive and model agnostic review of best practices for atmospheric scientists and others who utilize extreme weather forecasts. - Reviews recent developments in numerical prediction for better forecasting of extreme weather events - Covers causes and mechanisms of high impact extreme events and how to account for these variables when forecasting - Includes numerous case studies on successful forecasting, outlining why they worked
