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Analytics in a big data world, Baesens Bart


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Автор: Baesens Bart
Название:  Analytics in a big data world   (Барт Бесенс: Получение контроля над аналитикой)
Издательство: Wiley
Классификация:
ISBN: 1118892704
ISBN-13(EAN): 9781118892701
Обложка/Формат: Hardback
Страницы: 256
Вес: 0.446 кг.
Дата издания: 01.07.2014
Серия: Wiley and sas business series
Язык: English
Иллюстрации: Illustrations (black and white)
Размер: 161 x 236 x 23
Читательская аудитория: Professional & vocational
Рейтинг:
Поставляется из: Англии
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.

Автор: McGuire Kelly
Название: The Analytic Hospitality Executive: Implementing Data Analytics in Hotels and Casinos
ISBN: 1119129982 ISBN-13(EAN): 9781119129981
Издательство: Wiley
Рейтинг:
Цена: 48110 T
Наличие на складе: Поставка под заказ.
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.

Disruptive Business Analytics

Автор: Dinsmore Thomas W.
Название: Disruptive Business Analytics
ISBN: 1484213122 ISBN-13(EAN): 9781484213124
Издательство: Springer
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Цена: 28860 T
Наличие на складе: Поставка под заказ.
Описание: Learn all you need to know about seven key innovations disrupting business analytics today. These innovations—the open source business model, cloud analytics, the Hadoop ecosystem, Spark and in-memory analytics, streaming analytics, Deep Learning, and self-service analytics—are radically changing how businesses use data for competitive advantage. Taken together, they are disrupting the business analytics value chain, creating new opportunities.Enterprises who seize the opportunity will thrive and prosper, while others struggle and decline: disrupt or be disrupted. Disruptive Business Analytics provides strategies to profit from disruption. It shows you how to organize for insight, build and provision an open source stack, how to practice lean data warehousing, and how to assimilate disruptive innovations into an organization.Through a short history of business analytics and a detailed survey of products and services, analytics authority Thomas W. Dinsmore provides a practical explanation of the most compelling innovations available today.What You'll LearnDiscover how the open source business model works and how to make it work for youSee how cloud computing completely changes the economics of analyticsHarness the power of Hadoop and its ecosystemFind out why Apache Spark is everywhereDiscover the potential of streaming and real-time analyticsLearn what Deep Learning can do and why it mattersSee how self-service analytics can change the way organizations do business

Who This Book Is For
Corporate actors at all levels of responsibility for analytics: analysts, CIOs, CTOs, strategic decision makers, managers, systems architects, technical marketers, product developers, IT personnel, and consultants.

Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques: A Guide to Data Science for Fraud Detection

Автор: Baesens Bart, Verbeke Wouter, Van Vlasselaer Veron
Название: Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques: A Guide to Data Science for Fraud Detection
ISBN: 1119133122 ISBN-13(EAN): 9781119133124
Издательство: Wiley
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Цена: 52240 T
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Описание: THE DEFINITIVE GUIDE TO THE DETECTION AND PREVENTION OF FRAUD THROUGH DATA ANALYTICS Catch fraud early! Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques shows you how with a thorough overview of how to prevent losses and recov

Getting Started with Business Analytics

Автор: Hardoon
Название: Getting Started with Business Analytics
ISBN: 1439896534 ISBN-13(EAN): 9781439896532
Издательство: Taylor&Francis
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Цена: 72860 T
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Описание: Assuming no prior knowledge or technical skills, Getting Started with Business Analytics: Insightful Decision-Making explores the contents, capabilities, and applications of business analytics. It bridges the worlds of business and statistics and describes business analytics from a non-commercial standpoint. The authors demystify the main concepts and terminologies and give many examples of real-world applications.The first part of the book introduces business data and recent technologies that have promoted fact-based decision-making. The authors look at how business intelligence differs from business analytics. They also discuss the main components of a business analytics application and the various requirements for integrating business with analytics.The second part presents the technologies underlying business analytics: data mining and data analytics. The book helps you understand the key concepts and ideas behind data mining and shows how data mining has expanded into data analytics when considering new types of data such as network and text data.The third part explores business analytics in depth, covering customer, social, and operational analytics. Each chapter in this part incorporates hands-on projects based on publicly available data.Helping you make sound decisions based on hard data, this self-contained guide provides an integrated framework fordata mining in business analytics. It takes you on a journey through this data-rich world, showing you how to deploy business analytics solutions in your organization.

Predictive Analytics

Автор: Siegel Eric
Название: Predictive Analytics
ISBN: 1118356853 ISBN-13(EAN): 9781118356852
Издательство: Wiley
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Цена: 26110 T
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Описание:

"Mesmerizing & fascinating..." --"The Seattle Post-Intelligencer"

"The "Freakonomics" of big data." --Stein Kretsinger, founding executive of Advertising.com

Award-winning - Used by over 30 universities - Translated into 9 languages

"An introduction for everyone. ""In this rich, fascinating -- surprisingly accessible -- introduction, leading expert Eric Siegel reveals how predictive analytics works, and how it affects everyone every day. Rather than a "how to" for hands-on techies, the book serves lay readers and experts alike by covering new case studies and the latest state-of-the-art techniques."

Prediction is booming. It reinvents industries and runs the world. Companies, governments, law enforcement, hospitals, and universities are seizing upon the power. These institutions predict whether you're going to click, buy, lie, or die. Why? For good reason: predicting human behavior combats risk, boosts sales, fortifies healthcare, streamlines manufacturing, conquers spam, optimizes social networks, toughens crime fighting, and wins elections. How? Prediction is powered by the world's most potent, flourishing "unnatural" resource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise This heap of refuse is a gold mine. "Big data" embodies an extraordinary wealth of experience from which to learn." Predictive Analytics" unleashes the power of data. With this technology," " the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future drives millions of decisions more effectively, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate. In this lucid, captivating introduction -- "now in its Revised and Updated edition" -- former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction: What type of mortgage risk Chase Bank predicted before the recession. Predicting which people will drop out of school, cancel a subscription, or get divorced before they even know it themselves. Why early retirement predicts a shorter life expectancy and vegetarians miss fewer flights. Five reasons why organizations predict death -- including one health insurance company. How U.S. Bank and Obama for America calculated -- and Hillary for America 2016 plans to calculate -- the way to most strongly persuade each individual. Why the NSA wants all your data: machine learning supercomputers to fight terrorism. How IBM's Watson computer used "predictive modeling" to answer questions and beat the human champs on TV's "Jeopardy " How companies ascertain untold, private truths -- how Target figures out you're pregnant and Hewlett-Packard deduces you're about to quit your job. How judges and parole boards rely on crime-predicting computers to decide how long convicts remain in prison. 183 examples from Airbnb, the BBC, Citibank, ConEd, Facebook, Ford, Google, the IRS, LinkedIn, Match.com, MTV, Netflix, PayPal, Pfizer, Spotify, Uber, UPS, Wikipedia, and more.

How does predictive analytics work? This jam-packed book satisfies by demystifying the intriguing science under the hood. For future hands-on practitioners pursuing a career in the field, it sets a strong foundation, delivers the prerequisite knowledge, and whets your appetite for more.""

A truly omnipresent science, predictive analytics constantly affects our daily lives. Whether you are a consumer of it -- or consumed by it -- get a handle on the power of "Predictive Analytics."

Predictive Analytics for Human Resources

Автор: Jac Fitz?€“enz,John Mattox II
Название: Predictive Analytics for Human Resources
ISBN: 1118893670 ISBN-13(EAN): 9781118893678
Издательство: Wiley
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Цена: 52240 T
Наличие на складе: Поставка под заказ.
Описание: The step?€“by?€“step guide for executing an effective analytics project We are standing amid the greatest accumulation of data ever in existence, and it is growing exponentially while you read this. The imperative is to turn data into information and th

Health Analytics

Автор: Burke J
Название: Health Analytics
ISBN: 1118383044 ISBN-13(EAN): 9781118383049
Издательство: Wiley
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Цена: 65310 T
Наличие на складе: Поставка под заказ.
Описание: A hands-on, analytics road map for health industry leaders The industry-wide transformation taking place across the health and life sciences ecosystem is mandating that organizations adopt new decision-making capabilities, based on science and real-world information.

Effective CRM Using Predictive Analytics

Автор: Chorianopoulos Antonios
Название: Effective CRM Using Predictive Analytics
ISBN: 1119011558 ISBN-13(EAN): 9781119011552
Издательство: Wiley
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Цена: 57060 T
Наличие на складе: 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.

Style and Statistics: The Art of Retail Analytics

Автор: Bullard Brittany
Название: Style and Statistics: The Art of Retail Analytics
ISBN: 1119270316 ISBN-13(EAN): 9781119270317
Издательство: Wiley
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Цена: 52240 T
Наличие на складе: Поставка под заказ.
Описание: A non-technical guide to leveraging retail analytics for personal and competitive advantage Style & Statistics is a real-world guide to analytics in retail.

Leaders and Innovators: How Data-Driven Organizations Are Winning with Analytics

Автор: Nguyen Tho
Название: Leaders and Innovators: How Data-Driven Organizations Are Winning with Analytics
ISBN: 1119232570 ISBN-13(EAN): 9781119232575
Издательство: Wiley
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Цена: 26130 T
Наличие на складе: Поставка под заказ.
Описание: An integrated, strategic approach to higher-value analytics Leaders and Innovators: How Data-Driven Organizations Are Winning with Analytics shows how businesses leverage enterprise analytics to gain strategic insights for profitability and growth.

Healthcare Analytics: From Data to Knowledge to Healthcare Improvement

Автор: Hui Yang,Eva K. Lee
Название: Healthcare Analytics: From Data to Knowledge to Healthcare Improvement
ISBN: 1118919394 ISBN-13(EAN): 9781118919392
Издательство: Wiley
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Цена: 135440 T
Наличие на складе: Поставка под заказ.
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.

Next Generation Demand Management: People, Process, Analytics, and Technology

Автор: Chase Charles W.
Название: Next Generation Demand Management: People, Process, Analytics, and Technology
ISBN: 1119186633 ISBN-13(EAN): 9781119186632
Издательство: Wiley
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Цена: 52240 T
Наличие на складе: Поставка под заказ.
Описание: A practical framework for revenue-boosting supply chain management Next Generation Demand Management is a guidebook to next generation Demand Management, with an implementation framework that improves revenue forecasts and enhances profitability.


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