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Introduction To Business Analytics, Kimbrough


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Цена: 15312.00р.
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Автор: Kimbrough
Название:  Introduction To Business Analytics
ISBN: 9781482221763
Издательство: Taylor&Francis
Классификация:

ISBN-10: 1482221764
Обложка/Формат: Hardback
Страницы: 330
Вес: 0.81 кг.
Дата издания: 05.01.2016
Язык: English
Иллюстрации: 40 tables, black and white; 109 illustrations, black and white
Размер: 262 x 185 x 24
Читательская аудитория: Tertiary education (us: college)
Ключевые слова: Databases, BUSINESS & ECONOMICS / Management Science,BUSINESS & ECONOMICS / Operations Research,COMPUTERS / Databases / Data Mining
Основная тема: Data Preparation & Mining
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание:

Business Analytics for Decision Making, the first complete text suitable for use in introductory Business Analytics courses, establishes a national syllabus for an emerging first course at an MBA or upper undergraduate level. This timely text is mainly about model analytics, particularly analytics for constrained optimization. It uses implementations that allow students to explore models and data for the sake of discovery, understanding, and decision making.

Business analytics is about using data and models to solve various kinds of decision problems. There are three aspects for those who want to make the most of their analytics: encoding, solution design, and post-solution analysis. This textbook addresses all three. Emphasizing the use of constrained optimization models for decision making, the book concentrates on post-solution analysis of models.

The text focuses on computationally challenging problems that commonly arise in business environments. Unique among business analytics texts, it emphasizes using heuristics for solving difficult optimization problems important in business practice by making best use of methods from Computer Science and Operations Research. Furthermore, case studies and examples illustrate the real-world applications of these methods.

The authors supply examples in Excel(R), GAMS, MATLAB(R), and OPL. The metaheuristics code is also made available at the books website in a documented library of Python modules, along with data and material for homework exercises. From the beginning, the authors emphasize analytics and de-emphasize representation and encoding so students will have plenty to sink their teeth into regardless of their computer programming experience.




Introduction to Quantitative Methods in Business: With Appli

Автор: Kolluri Bharat
Название: Introduction to Quantitative Methods in Business: With Appli
ISBN: 1119220971 ISBN-13(EAN): 9781119220978
Издательство: Wiley
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Цена: 16782.00 р.
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Описание:

A well-balanced and accessible introduction to the elementary quantitative methods and Microsoft(R) Office Excel(R) applications used to guide business decision making

Featuring quantitative techniques essential for modeling modern business situations, Introduction to Quantitative Methods in Business: With Applications Using Microsoft(R) Office Excel(R) provides guidance to assessing real-world data sets using Excel. The book presents a balanced approach to the mathematical tools and techniques with applications used in the areas of business, finance, economics, marketing, and operations.

The authors begin by establishing a solid foundation of basic mathematics and statistics before moving on to more advanced concepts. The first part of the book starts by developing basic quantitative techniques such as arithmetic operations, functions and graphs, and elementary differentiations (rates of change), and integration. After a review of these techniques, the second part details both linear and nonlinear models of business activity. Extensively classroom-tested, Introduction to Quantitative Methods in Business: With Applications Using Microsoft(R) Office Excel(R) also includes:

  • Numerous examples and practice problems that emphasize real-world business quantitative techniques and applications
  • Excel-based computer software routines that explore calculations for an assortment of tasks, including graphing, formula usage, solving equations, and data analysis
  • End-of-chapter sections detailing the Excel applications and techniques used to address data and solutions using large data sets
  • A companion website that includes chapter summaries, Excel data sets, sample exams and quizzes, lecture slides, and an Instructors' Solutions Manual

Introduction to Quantitative Methods in Business: With Applications Using Microsoft(R) Office Excel(R) is an excellent textbook for undergraduate-level courses on quantitative methods in business, economics, finance, marketing, operations, and statistics. The book is also an ideal reference for readers with little or no quantitative background who require a better understanding of basic mathematical and statistical concepts used in economics and business.

Bharat Kolluri, Ph.D., is Professor of Economics in the Department of Economics, Finance, and Insurance at the University of Hartford. A member of the American Economics Association, his research interests include econometrics, business statistics, quantitative decision making, applied macroeconomics, applied microeconomics, and corporate finance.

Michael J. Panik, Ph.D., is Professor Emeritus in the Department of Economics, Finance, and Insurance at the University of Hartford. He has served as a consultant to the Connecticut Department of Motor Vehicles as well as to a variety of health care organizations. In addition, Dr. Panik is the author of numerous books, including Growth Curve Modeling: Theory and Applications and Statistical Inference: A Short Course, both published by Wiley.

Rao N. Singamsetti, Ph.D., is Associate Professor in the Department of Economics, Finance, and Insurance at the University of Hartford. A member of the American Economics Association, his research interests include the status of war on poverty in the United States since the 1960s and forecasting foreign exchange rates using econometric methods.

Introduction To Knowledge Management In Business

Автор: Groff, Todd
Название: Introduction To Knowledge Management In Business
ISBN: 0750677287 ISBN-13(EAN): 9780750677288
Издательство: Taylor&Francis
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Цена: 7348.00 р.
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Описание: Introduces readers to a wide range of knowledge management (KM) tools, techniques and terminology for enhancing innovation, communication and dedication among individuals and workgroups. This book focuses on real-world business examples using commonly available technologies.

Data Mining and Business Analytics with R

Автор: Ledolter Johannes
Название: Data Mining and Business Analytics with R
ISBN: 111844714X ISBN-13(EAN): 9781118447147
Издательство: Wiley
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Цена: 17258.00 р.
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Описание: Collecting, analyzing, and extracting valuable information from a large amount of data requires easily accessible, robust, computational and analytical tools. Data Mining and Business Analytics with R utilizes the open source software R for the analysis, exploration, and simplification of large high-dimensional data sets.

An Introduction to Statistical Analysis for Business and Industry

Автор: Stuart
Название: An Introduction to Statistical Analysis for Business and Industry
ISBN: 0470973862 ISBN-13(EAN): 9780470973868
Издательство: Wiley
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Цена: 7120.00 р.
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Описание: This is an introductory statistics textbook for business and management students which uses the innovative approach of a statistical thinkinga .

Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner

Автор: Galit Shmueli, Peter C. Bruce, Nitin R. Patel
Название: Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner
ISBN: 1118729277 ISBN-13(EAN): 9781118729274
Издательство: Wiley
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Цена: 17741.00 р.
Наличие на складе: Поставка под заказ.

Описание: Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner(R), Third Edition presents an applied approach to data mining and predictive analytics with clear exposition, hands-on exercises, and real-life case studies.

Disruptive Business Analytics

Автор: Dinsmore Thomas W.
Название: Disruptive Business Analytics
ISBN: 1484213122 ISBN-13(EAN): 9781484213124
Издательство: Springer
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Цена: 3492.00 р.
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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.
SAP Business Analytics

Автор: DuttaRoy
Название: SAP Business Analytics
ISBN: 148421384X ISBN-13(EAN): 9781484213841
Издательство: Springer
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Цена: 4191.00 р.
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Описание: Focus on SAP business analytics business gains, key features, and implementation. The book includes example implementations of SAP business analytics, the challenges faced, and the solutions implemented. SAP Business Analytics explains both the strategy and technical implementation for gathering and analyzing all the information pertaining to an organization.Key features of the book are:A 360-degree view of an organization’s data and the methods to gather and analyze that dataThe strategies that need to be in place to gather relevant data from disparate systemsDetails about the SAP business analytics suite of productsThe technical implementations used to gather data from disparate systems such as ERP and CRM Real business cases as examplesAnalytics is the driving force in today’s business, be it healthcare, marketing, telecommunications, or retail and hence the most vital part of any organization’s strategy. What You'll LearnGain an understanding of business analytics in generalAbsorb the technical details of the SAP business analytics suite of productsDiscover the challenges faced during an enterprise-level analytics project implementationLearn the key points to be kept in mind during the technical implementation of an SAP business analytics projectWho This Book Is ForAnalytics strategists, BI managers, BI architects, business analysts, and BI developers.

Interview Questions in Business Analytics

Автор: Gupta
Название: Interview Questions in Business Analytics
ISBN: 1484206002 ISBN-13(EAN): 9781484206003
Издательство: Springer
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Цена: 4186.00 р.
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Описание: Discover relevant questions—and detailed answers—to help you prepare for job interviews and break into the field of analytics. This book contains more than 200 questions based on consultations with hiring managers and technical professionals already working in analytics. Interview Questions in Business Analytics: How to Ace Interviews and Get the Job You Want fills a gap in information on business analytics for job seekers. Bhasker Gupta, the founder and editor of Analytics India Magazine, has come up with more than 300 questions job applicants are likely to face in an interview. Covering data preparation, statistics, analytics implementation, as well as other crucial topics favored by interviewers, this book:Provides 300+ interview questions often asked by recruiters and hiring managers in global corporationsOffers short and to-the-point answers to the depth required, while looking at the problem from all angles Provides a full range of interview questions for jobs ranging from junior analytics to senior data scientists and managersOffers analytics professionals a quick reference on topics in analyticsUsing a question-and-answer format from start to finish, Interview Questions in Business Analytics: How to Ace Interviews and Get the Job You Want will help you grasp concepts sooner and with deep clarity. The book therefore also serves as a primer on analytics and covers issues relating to business implementation. You will learn about not just the how and what of analytics, but also the why and when. This book will thus ensure that you are well prepared for interviews—putting your dream job well within reach.Business analytics is currently one of the hottest and trendiest areas for technical professionals. With the rise of the profession, there is significant job growth. Even so, it’s not easy to get a job in the field, because you need knowledge of subjects such as statistics, databases, and IT services. Candidates must also possess keen business acumen. What's more, employers cast a cold critical eye on all applicants, making the task of getting a job even more difficult.What You'll LearnThe 300 questions in this book cover such topics as:• The different types of data used in analytics• How analytics are put to use in different industries• The process of hypothesis testing • Predictive vs. descriptive analytics• Correlation, regression, segmentation and advanced statistics• Predictive modelingWho This Book Is ForThose aspiring to jobs in business analytics, including recent graduates and technical professionals looking for a new or better job. Job interviewers will also find the book helpful in preparing interview questions.

Advanced Business Analytics

Автор: Bhaduri
Название: Advanced Business Analytics
ISBN: 9811007268 ISBN-13(EAN): 9789811007262
Издательство: Springer
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Цена: 11179.00 р.
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Описание: The present book provides an enterprise-wide guide for anyone interested in pursuing analytic methods in order to compete effectively. It supplements more general texts on statistics and data mining by providing an introduction from leading practitioners in business analytics and real case studies of firms using advanced analytics to gain a competitive advantage in the marketplace. In the era of “big data” and competing analytics, this book provides practitioners applying business analytics with an overview of the quantitative strategies and techniques used to embed analysis results and advanced algorithms into business processes and create automated insight-driven decisions within the firm. Numerous studies have shown that firms that invest in analytics are more likely to win in the marketplace. Moreover, the Internet of Everything (IoT) for manufacturing and social-local-mobile (SOLOMO) for services have made the use of advanced business analytics even more important for firms. These case studies were all developed by real business analysts, who were assigned the task of solving a business problem using advanced analytics in a way that competitors were not. Readers learn how to develop business algorithms on a practical level, how to embed these within the company and how to take these all the way to implementation and validation.

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: 6178.00 р.
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Описание: Create and run a human resource analytics project with confidence For any human resource professional that wants to harness the power of analytics, this essential resource answers the questions: "Where do I start?" and "What tools are available?" Predictive Analytics for Human Resources is designed to answer these and other vital questions.


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