Applied Analytics through Case Studies Using SAS and R, Gupta
Автор: Louis Anthony Cox Jr.; Douglas A. Popken; Richard Название: Causal Analytics for Applied Risk Analysis ISBN: 3030086534 ISBN-13(EAN): 9783030086534 Издательство: Springer Рейтинг: Цена: 41925.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Causal analytics methods can revolutionize the use of data to make effective decisions by revealing how different choices affect probabilities of various outcomes. This book presents and illustrates models, algorithms, principles, and software for deriving causal models from data and for using them to optimize decisions with uncertain outcomes. It discusses how to describe and summarize situations; detect changes; evaluate effects of policies or interventions; learn what works best under different conditions; predict values of as-yet unobserved quantities from available data; and identify the most likely explanations for observed outcomes, including surprises and anomalies. The book resents practical techniques for causal modeling and analytics that practitioners can apply to improve understanding of how choices affect probabilities of consequences and, based on this understanding, to recommend choices that are more likely to accomplish their intended objectives.
The book begins with a survey of modern analytics methods, focusing mainly on techniques useful for decision, risk, and policy analysis. Chapter 2 introduces free in-browser software, including the Causal Analytics Toolkit (CAT) software, to enable readers to perform the analyses described and to apply modern analytics methods easily to their own data sets. Chapters 3 through 11 show how to apply causal analytics and risk analytics to practical risk analysis challenges, mainly related to public and occupational health risks from pathogens in food or from pollutants in air. Chapters 12 through 15 turn to broader questions of how to improve risk management decision-making by individuals, groups, organizations, institutions, and multi-generation societies with different cultures and norms for cooperation. These chapters examine organizational learning, community resilience, societal risk management, and intergenerational collaboration and justice in managing risks.
Название: Applied big data analytics in operations management / ISBN: 1522508864 ISBN-13(EAN): 9781522508861 Издательство: Turpin Рейтинг: Цена: 23654.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Operations management is a tool by which companies can effectively meet customers’ needs using the least amount of resources necessary. With the emergence of sensors and smart metering, big data is becoming an intrinsic part of modern operations management.Applied Big Data Analytics in Operations Management enumerates the challenges and creative solutions and tools to apply when using big data in operations management. Outlining revolutionary concepts and applications that help businesses predict customer behavior along with applications of artificial neural networks, predictive analytics, and opinion mining on business management, this comprehensive publication is ideal for IT professionals, software engineers, business professionals, managers, and students of management.
Автор: Cox Jr. Название: Causal Analytics for Applied Risk Analysis ISBN: 3319782401 ISBN-13(EAN): 9783319782409 Издательство: Springer Рейтинг: Цена: 41925.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Causal analytics methods can revolutionize the use of data to make effective decisions by revealing how different choices affect probabilities of various outcomes. This book presents and illustrates models, algorithms, principles, and software for deriving causal models from data and for using them to optimize decisions with uncertain outcomes. It discusses how to describe and summarize situations; detect changes; evaluate effects of policies or interventions; learn what works best under different conditions; predict values of as-yet unobserved quantities from available data; and identify the most likely explanations for observed outcomes, including surprises and anomalies. The book resents practical techniques for causal modeling and analytics that practitioners can apply to improve understanding of how choices affect probabilities of consequences and, based on this understanding, to recommend choices that are more likely to accomplish their intended objectives.
The book begins with a survey of modern analytics methods, focusing mainly on techniques useful for decision, risk, and policy analysis. Chapter 2 introduces free in-browser software, including the Causal Analytics Toolkit (CAT) software, to enable readers to perform the analyses described and to apply modern analytics methods easily to their own data sets. Chapters 3 through 11 show how to apply causal analytics and risk analytics to practical risk analysis challenges, mainly related to public and occupational health risks from pathogens in food or from pollutants in air. Chapters 12 through 15 turn to broader questions of how to improve risk management decision-making by individuals, groups, organizations, institutions, and multi-generation societies with different cultures and norms for cooperation. These chapters examine organizational learning, community resilience, societal risk management, and intergenerational collaboration and justice in managing risks.
Автор: Chorianopoulos Antonios Название: Effective CRM Using Predictive Analytics ISBN: 1119011558 ISBN-13(EAN): 9781119011552 Издательство: Wiley Рейтинг: Цена: 7278.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A step-by-step guide to data mining applications in CRM. Following a handbook approach, this book bridges the gap between analytics and their use in everyday marketing, providing guidance on solving real business problems using data mining techniques. The book is organized into three parts.
Автор: Mone Название: Employee Engagement Through Effective Performance Management ISBN: 1138648272 ISBN-13(EAN): 9781138648272 Издательство: Taylor&Francis Рейтинг: Цена: 22202.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is a practical guide for managers to increase and support employee engagement through stronger performance management tools and techniques.
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: Mone Edward M Название: Employee Engagement Through Effective Performance Management ISBN: 1138648280 ISBN-13(EAN): 9781138648289 Издательство: Taylor&Francis Рейтинг: Цена: 8114.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is a practical guide for managers to increase and support employee engagement through stronger performance management tools and techniques.
Описание: Don`t squander your most valuable resource! Collectively, your workers are your company`s most important and most valuable asset. To make the most of this asset, nothing beats quantitative performance and investment measurement.
Автор: Hall Cristina, II John R. Mattox, Parskey Peggy Название: Learning Analytics: Using Talent Data to Improve Business Outcomes ISBN: 1789663008 ISBN-13(EAN): 9781789663006 Издательство: Неизвестно Рейтинг: Цена: 8987.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Utilize organizational data and analytics to make better decisions about managing the learning and development of your workforce.
Автор: Antoine Trad, Damir Kalpic Название: Using Applied Mathematical Models for Business Transformation ISBN: 1799810097 ISBN-13(EAN): 9781799810094 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 35620.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Traditional business practices have been left behind due to the increased use of data analytics and information technology in companies worldwide. This development has led to businesses implementing transformative projects that use these new technologies in their decision-making systems. Altering the entire architecture of a company is a daunting task; however, researchers are finding methods through applied mathematics that can make it easier on companies. Implementing analytical models into current business processes is vital for professionals across the globe.
Using Applied Mathematical Models for Business Transformation is an essential reference source that discusses the advancement of decision-making systems in business environments with the use of applied mathematics, algorithms, and information technology. Featuring research on topics such as decision-making systems, critical success factors, and global enterprise architecture, this book is ideally designed for project managers, financial analysts, business strategists, software engineers, technical architects, students, researchers, and educators seeking coverage on the transformation of business practices using applied mathematics and information technology.
Автор: Antoine Trad, Damir Kalpi? Название: Using Applied Mathematical Models for Business Transformation ISBN: 1799810100 ISBN-13(EAN): 9781799810100 Издательство: Mare Nostrum (Eurospan) Цена: 29245.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Traditional business practices have been left behind due to the increased use of data analytics and information technology in companies worldwide. This development has led to businesses implementing transformative projects that use these new technologies in their decision-making systems. Altering the entire architecture of a company is a daunting task; however, researchers are finding methods through applied mathematics that can make it easier on companies. Implementing analytical models into current business processes is vital for professionals across the globe. Using Applied Mathematical Models for Business Transformation is an essential reference source that discusses the advancement of decision-making systems in business environments with the use of applied mathematics, algorithms, and information technology. Featuring research on topics such as decision-making systems, critical success factors, and global enterprise architecture, this book is ideally designed for project managers, financial analysts, business strategists, software engineers, technical architects, students, researchers, and educators seeking coverage on the transformation of business practices using applied mathematics and information technology.
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