Описание: Detect fraud earlier to mitigate loss and prevent cascading damage Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques is an authoritative guidebook for setting up a comprehensive fraud detection analytics solution.
Описание: Features statistical and operational research methods and tools being used to improve the healthcare industry With a focus on cutting–edge approaches to the quickly growing field of healthcare, Healthcare Analytics: From Data to Knowledge to Healthcare Improvement provides an integrated and comprehensive treatment on recent research advancements in data–driven healthcare analytics in an effort to provide more personalized and efficient healthcare services. Emphasizing data and healthcare analytics from an operational management and statistical perspective, the book details how analytical methods and tools can be utilized to enhance care quality and operational efficiency. Organized into two main sections, Part One features biomedical and health informatics and specifically addresses the analytics of genomic and proteomic data; physiological signals from patient monitoring systems; data uncertainty in clinical laboratory tests; predictive modeling; disease modeling for sepsis; and the design of cyber infrastructures for early prediction of epidemic events. Part Two focuses on healthcare delivery systems, including system advances for transforming clinic workflow and patient care; macro analysis of patient flow distribution; intensive care units; primary care; demand and resource allocation; mathematical models for predicting patient readmission and postoperative outcome; physician–patient interactions; insurance claims; and the role of social media in healthcare. Healthcare Analytics: From Data to Knowledge to Healthcare Improvement also features: Contributions from well–known international experts who shed light on new approaches in this growing area Discussions on contemporary methods and techniques to address the handling of rich and large–scale healthcare data as well as the overall optimization of healthcare system operations Numerous real–world examples and case studies that emphasize the vast potential of statistical and operational research tools and techniques to address the big data environment within the healthcare industry Plentiful applications that showcase the various analytical methods and tools that can be applied to successful predictive modeling The book is an ideal reference for academics and practitioners in operations research, management science, applied mathematics, statistics, business, industrial and systems engineering, healthcare systems, and economics. Healthcare Analytics: From Data to Knowledge to Healthcare Improvement is also appropriate for graduate–level courses typically offered within operations research, industrial engineering, business, and public health departments. Hui Yang, PhD, is Associate Professor in the Harold and Inge Marcus Department of Industrial and Manufacturing Engineering at The Pennsylvania State University. His research interests include sensor–based modeling and analysis of complex systems for process monitoring/control; system diagnostics/prognostics; quality improvement; and performance optimization with special focus on nonlinear stochastic dynamics and the resulting chaotic, recurrence, self–organizing behaviors. Eva K. Lee, PhD, is Professor in the H. Milton Stewart School of Industrial and Systems Engineering at the Georgia Institute of Technology, Director of the Center for Operations Research in Medicine and HealthCare, and Distinguished Scholar in Health System, Health Systems Institute at both Emory University School of Medicine and Georgia Institute of Technology. Her research interests include health risk prediction; early disease prediction and diagnosis; optimal treatment strategies and drug delivery; healthcare outcome analysis and treatment prediction; public health and medical preparedness; large–scale healthcare/medical decision analysis and quality improvement; clinical translational science; and business intelligence and organization transformation.
Описание: Helps readers answer vital questions such as: What should I do when my personal values conflict with company business values? How do I make trade-offs between the needs of my customers, my employees, and my company`s shareholders? And, do I really want to devote my talents to business?
Автор: Doze Irma, Al Toine Название: Data-Driven HR: Creating Value with HR Metrics and HR Analytics ISBN: 9090321934 ISBN-13(EAN): 9789090321936 Издательство: Неизвестно Рейтинг: Цена: 9282.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Data-Driven HR: Create Value with HR Metrics and HR Analytics
Which job applicants have hidden talents? Which job roles are most prone to long-term absenteeism? Which of your teams really satisfy customers? Many organizations wrestle with these questions, even as they sit atop a treasure trove of valuable information collected by their HR information systems and other business software.
This book, a Dutch best seller now translated into English, shows how to use the data you already have to answer burning questions like these. It demonstrates how you can progressively refine your HR analytics by defining, implementing, and monitoring HR interventions, policy, and strategy. This data-driven approach puts HR in a better position to help the organization improve its performance and increase employees' productivity and job satisfaction. HR metrics and HR analytics help you create value for the organization by: formulating business questions that are relevant to HR; using all available data, including big data; to reveal patterns and correlations within the organization; proactively identifying trends, risks, and opportunities; and developing predictive models.
"HR analytics will be essential for HR to continue to make a critical contribution to organizational strategy in the future." Hein Knaapen, Global HR Director, ING
"HR analytics will be a game-changer in the long term. It will ensure that HRM is based on systematic scientific research that provides evidence of whether something works or not." Jorrit van der Togt, EVP of HR Strategy & Internal Communications, Shell
This book is for anyone who is interested in understanding the advantages of data-driven HR policy and applying data analytics and related disciplines within their own organization and HR practice. Data-driven HR has advantages for all types of commercial, noncommercial, and government organizations. The book has been written with a number of audiences in mind: HR managers and directors, HR business partners, current and future HR analysts, HR consultants, business analysts, controllers and line managers who want to deepen their knowledge of the subject and make use of the opportunities presented by HR analytics to help them do their work.
This edition of the book, the first to appear in English, has also recently been revised to add an updated chapter on privacy and the protection of personal data, information on hypothesis-driven analysis versus data mining, artificial intelligence (AI), machine learning, and self-learning software, and information on the Voice of the Employee.
"This book is one of a kind. It's substantial but deserves kudos for its thoroughness and readability." Mark de Lat, director, Randstad Nederland
Описание: Lean Analytics is an incredibly popular framework for getting the most out of your business. Using this framework, you`ll be able to understand and master all of the data available to your business so you can build something that the market truly wants.
Автор: Marr, Bernard (advanced Performance Institute, Buckinghamshire, Uk) Название: Big data ISBN: 1118965833 ISBN-13(EAN): 9781118965832 Издательство: Wiley Рейтинг: Цена: 2058.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Lee Название: Creating Values with Operations and Analytics ISBN: 3031088700 ISBN-13(EAN): 9783031088704 Издательство: Springer Рейтинг: Цена: 22359.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book showcases how the latest and most advanced types of analytical modeling and empirical analysis can help to create value in the global supply chain. Focusing on practical relevance, it shares valuable management insights and addresses key issues in operations management (OM), demonstrating how past research has led to various practices and impacts, while also exploring the aspirations of the latest research. It presents current research on various topics such as global supply chain design, service supply chains, product design, responsible supply chains, performance and incentives in operations, data analytics in health services, new business models in the digital age, and new digital technology advances such as blockchain. In addition, it presents practical case studies on the aforementioned topics. Beyond the value of its contents, the book is intended as a tribute to Professor Morris Cohen, who has been a major contributor to advancing the research frontier in operations management and a driving force in shaping the field. Given its scope, the book will appeal to a wide readership, from researchers and PhD students to practitioners and consultants.
Автор: Clifford M. Gross Название: Too Good To Fail ISBN: 3319032976 ISBN-13(EAN): 9783319032979 Издательство: Springer Рейтинг: Цена: 10760.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book to offers a practical strategy for bringing together open innovation networks, intellectual property, technology transfer and the rapid compression of development time lines in a clear, usable manner. Shows how to embrace crowdsourcing discoveries.
Автор: M. Ragas; E. Culp Название: Business Essentials for Strategic Communicators ISBN: 1349481882 ISBN-13(EAN): 9781349481880 Издательство: Springer Рейтинг: Цена: 4191.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The rise of digital media and the public`s demand for transparency has elevated the importance of communication for every business.
Автор: Baesens Bart Название: Analytics in a big data world ISBN: 1118892704 ISBN-13(EAN): 9781118892701 Издательство: Wiley Рейтинг: Цена: 6178.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The guide to targeting and leveraging business opportunities using big data & analytics By leveraging big data & analytics, businesses create the potential to better understand, manage, and strategically exploiting the complex dynamics of customer behavior.
Описание: Targeted analytics to address the unique opportunities in hospitality and gaming The Analytic Hospitality Executive helps decision makers understand big data and how it can drive value in the industry.
Автор: Vincenzo Morabito Название: Big Data and Analytics ISBN: 3319106643 ISBN-13(EAN): 9783319106649 Издательство: Springer Рейтинг: Цена: 8384.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents and discusses the main strategic and organizational challenges posed by Big Data and analytics in a manner relevant to both practitioners and scholars.
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