Business Analytics: Combining data, analysis and judgement to inform decisions, Mary E. Gordon
Автор: Hanea Anca M., Nane Gabriela F., Bedford Tim Название: Expert Judgement in Risk and Decision Analysis ISBN: 3030464733 ISBN-13(EAN): 9783030464738 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: and on specific experiences with SEJ protocols with the intention of presenting the challenges and insights collected during these journeys. Finally, the fourth (and largest) part begins with some reflections from Willy Aspinall on his many experiences in applying the Classical Model in several application domains;
Описание: The point of departure in the present book is that the decision makers, involved in the evaluation of alternatives under conflicting criteria, express their preferential judgement by estimating ratios of subjective values or differences of the corresponding logarithms, the so-called grades.
Автор: Hanea Anca M., Nane Gabriela F., Bedford Tim Название: Expert Judgement in Risk and Decision Analysis ISBN: 3030464768 ISBN-13(EAN): 9783030464769 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: and on specific experiences with SEJ protocols with the intention of presenting the challenges and insights collected during these journeys. Finally, the fourth (and largest) part begins with some reflections from Willy Aspinall on his many experiences in applying the Classical Model in several application domains;
Автор: Goodwin Paul Название: Decision Analysis for Management Judgement ISBN: 1118740734 ISBN-13(EAN): 9781118740736 Издательство: Wiley Рейтинг: Цена: 8070.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Decision Analysis for Management Judgment is unique in its breadth of coverage of decision analysis methods. It covers both the psychological problems that are associated with unaided managerial decision making and the decision analysis methods designed to overcome them.
Описание: Provides a practical approach to using data to solve real HR challenges in organisations and demystifies analytics with clear guidelines and recommendations for making the business case, starting an HR analytics function, avoiding common pitfalls, presenting data through visualization and storytelling, and much more.
Автор: Liebowitz, Jay (Harrisburg University of Science and Technology, Pennsylvania, USA) Название: Developing Informed Intuition for Decision-Making ISBN: 1032090863 ISBN-13(EAN): 9781032090863 Издательство: Taylor&Francis Рейтинг: Цена: 7195.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book examines how to develop the main traits that are necessary to become an "informed intuitant". Case studies and examples of successful "informed intuitants" are a major component of the book. "Intuitant" is someone who has the intuitive awareness to be successful.
Описание: Regardless of size and service, a service organization is a service system. Because of the socio-technical nature of a service system, a systems approach must be adopted to design, develop, and deliver services, aimed at meeting end users` both utilitarian and socio-psychological needs.
Автор: Hui Yang; Robin Qiu; Weiwei Chen Название: Smart Service Systems, Operations Management, and Analytics ISBN: 3030309665 ISBN-13(EAN): 9783030309664 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Regardless of size and service, a service organization is a service system. Because of the socio-technical nature of a service system, a systems approach must be adopted to design, develop, and deliver services, aimed at meeting end users` both utilitarian and socio-psychological needs.
Описание: Understand the choices facing leaders in the fast-changing world of technology-enabled business and discover how to resource the investments that are guaranteed to deliver growth.
Описание: Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.
Use machine learning to understand your customers, frame decisions, and drive value The business analytics world has changed, and Data Scientists are taking over. Business Data Science takes you through the steps of using machine learning to implement best-in-class business data science. Whether you are a business leader with a desire to go deep on data, or an engineer who wants to learn how to apply Machine Learning to business problems, you'll find the information, insight, and tools you need to flourish in today's data-driven economy. You'll learn how to: - Use the key building blocks of Machine Learning: sparse regularization, out-of-sample validation, and latent factor and topic modeling - Understand how use ML tools in real world business problems, where causation matters more that correlation - Solve data science programs by scripting in the R programming language Today's business landscape is driven by data and constantly shifting. Companies live and die on their ability to make and implement the right decisions quickly and effectively. Business Data Science is about doing data science right. It's about the exciting things being done around Big Data to run a flourishing business. It's about the precepts, principals, and best practices that you need know for best-in-class business data science.
Описание: This handbook focuses on Data Envelopment Analysis (DEA) applications in operations analytics which are fundamental tools and techniques for improving operation functions and attaining long-term competitiveness. In fact, the handbook demonstrates that DEA can be viewed as Data Envelopment Analytics.Chapters include a review of cross-efficiency evaluation; a case study on measuring the environmental performance of OECS countries; how to select a set of performance metrics in DEA with an application to American banks; a relational network model to take the operations of individual periods into account in measuring efficiencies; how the efficient frontier methods DEA and stochastic frontier analysis (SFA) can be used synergistically; and how to integrate DEA and multidimensional scaling.In other chapters, authors construct a dynamic three-stage network DEA model; a bootstrapping based methodology to evaluate returns to scale and convexity assumptions in DEA; hybridizing DEA and cooperative games; using DEA to represent the production technology and directional distance functions to measure band performance; an input-specific Luenberger energy and environmental productivity indicator; and the issue of reference set by differentiating between the uniquely found reference set and the unary and maximal types of the reference set.Finally, additional chapters evaluate and compare the technological advancement observed in different hybrid electric vehicles (HEV) market segments over the past 15 years; radial measurement of efficiency for the production process possessing multi-components under different production technologies; issues around the use of accounting information in DEA; how to use DEA environmental assessment to establish corporate sustainability; a summary of research efforts on DEA environmental assessment applied to energy in the last 30 years; and an overview of DEA and how it can be utilized alone and with other techniques to investigate corporate environmental sustainability questions.
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
