Essentials of Business Analytics

Author: Jeffrey D. Camm
Publisher: Cengage Learning
ISBN: 9781337015622
Release Date: 2016-03-24
Genre: Business & Economics

ESSENTIALS OF BUSINESS ANALYTICS, 2e can be used by students who have previously taken a course on basic statistical methods as well as students who have not had a prior course in statistics. The expanded material in the second edition of Essentials of Business Analytics also makes it amenable to a two-course sequence in business statistics and analytics. All statistical concepts contained in this textbook are presented from a business analytics perspective using practical business examples. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Business Analytics

Author: Jeffrey D. Camm
Publisher: Cengage Learning
ISBN: 1337406422
Release Date: 2018-03-08
Genre: Business & Economics

Build valuable skills that are in high demand in today’s businesses with Camm/Cochran/Fry/Ohlmann/Anderson/Sweeney/Williams' market-leading BUSINESS ANALYTICS, 3E. Readers master the full range of analytics while strengthening descriptive, predictive and prescriptive analytic skills. Real-world examples and visuals help illustrate data and results for each topic. Clear, step-by-step instructions guide readers through using various software programs, including Microsoft Excel, Analytic Solver, and JMP Pro, to perform the analyses discussed. Practical, relevant problems at all levels of difficulty reinforce and teach readers to apply the concepts learned. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Essentials of Business Analytics

Author: Jeffrey D. Camm
Publisher: Cengage Learning
ISBN: 9781305627734
Release Date: 2016-03-24
Genre: Business & Economics

ESSENTIALS OF BUSINESS ANALYTICS, 2e can be used by students who have previously taken a course on basic statistical methods as well as students who have not had a prior course in statistics. The expanded material in the second edition of Essentials of Business Analytics also makes it amenable to a two-course sequence in business statistics and analytics. All statistical concepts contained in this textbook are presented from a business analytics perspective using practical business examples. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Essentials of Statistics for Business and Economics

Author: David R. Anderson
Publisher: Cengage Learning
ISBN: 9781133629658
Release Date: 2014-02-24
Genre: Business & Economics

Trust the market-leading ESSENTIALS OF STATISTICS FOR BUSINESS AND ECONOMICS, 7th Edition to give you a foundation in statistics and an edge in today's competitive business world. The author's signature problem-scenario approach and reader-friendly writing style combine with proven methodologies, hands-on exercises, and real-world examples to take you deep into realistic business problems and help you solve them from an intelligent, quantitative perspective. Streamlined to focus on core topics, this new edition has been updated with new case problems, applications, and self-test exercises to help you master key formulas and apply the statistical methods you learn. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Essentials of Business Analytics

Author: Bhimasankaram Pochiraju
Publisher: Springer
ISBN: 3319688367
Release Date: 2018-09-11
Genre: Business & Economics

This comprehensive volume is the first of its kind which serves as a textbook for long duration business analytics courses and as a perfect guide to the practitioner. This is an edited volume. The chapters are written by experts from the Indian School of Business, top US universities and industry. Every chapter has a business orientation. Typically, each chapter begins with business problems that are transformed into data questions; methodology is developed to solve the data question. Data analysis is done using widely used software, the output and results are clearly explained at each stage of development. Finally, the solution is transformed into a business solution. The editors have taken extreme care to ensure continuity across the chapters. The book has three parts: A) Methodology, B) Applications and C) Case Studies. In part A, the methodology is developed in detail. In part B, these methodologies are applied to solve business problems in various verticals. Part C contains case studies illustrating applications in a single instance. There is an appendix that develops the pre-requisites for the main text.

Win with Advanced Business Analytics

Author: Jean-Paul Isson
Publisher: John Wiley & Sons
ISBN: 9781118417089
Release Date: 2012-09-25
Genre: Business & Economics

Plain English guidance for strategic business analytics and big data implementation In today's challenging economy, business analytics and big data have become more and more ubiquitous. While some businesses don't even know where to start, others are struggling to move from beyond basic reporting. In some instances management and executives do not see the value of analytics or have a clear understanding of business analytics vision mandate and benefits. Win with Advanced Analytics focuses on integrating multiple types of intelligence, such as web analytics, customer feedback, competitive intelligence, customer behavior, and industry intelligence into your business practice. Provides the essential concept and framework to implement business analytics Written clearly for a nontechnical audience Filled with case studies across a variety of industries Uniquely focuses on integrating multiple types of big data intelligence into your business Companies now operate on a global scale and are inundated with a large volume of data from multiple locations and sources: B2B data, B2C data, traffic data, transactional data, third party vendor data, macroeconomic data, etc. Packed with case studies from multiple countries across a variety of industries, Win with Advanced Analytics provides a comprehensive framework and applications of how to leverage business analytics/big data to outpace the competition.

Business Analytics

Author: Jay Liebowitz
Publisher: CRC Press
ISBN: 9781498760256
Release Date: 2015-09-15
Genre: Business & Economics

Together, Big Data, high-performance computing, and complex environments create unprecedented opportunities for organizations to generate game-changing insights that are based on hard data. Business Analytics: An Introduction explains how to use business analytics to sort through an ever-increasing amount of data and improve the decision-making capabilities of an organization. Covering the key areas of business analytics, the book explores the concepts, techniques, applications, and emerging trends that professionals across a wide range of industries need to be aware of. Better detection of fraud through visual analytics or better prediction of the likelihood of someone getting an infection while in the hospital are just a few examples of where analytics can play a positive role. As the field of business analytics continues to emerge rapidly, there is a need for a reliable textbook and reference on the subject. Filling this need, this book is suitable for graduate-level students and undergraduate seniors. It maintains a focus on only the key areas so the material can be covered adequately in a one-semester or one-quarter course. Each chapter includes software-generic exercises, labs, and associated answers to the exercises/labs. Author Jay Liebowitz recently had an article published in The World Financial Review. www.worldfinancialreview.com/?p=1904

Essentials of Health Information Systems and Technology

Author: Jean A Balgrosky
Publisher: Jones & Bartlett Learning
ISBN: 9781284150766
Release Date: 2014-08-11
Genre: Medical

As health care and public health continue to evolve, the field of Health Information Systems (HIS) has revealed an overwhelming universe of new, emerging, competing, and conflicting technologies and services. Even seasoned HIS professionals, as well as those new to the field, are often confounded by these myriad systems. Essentials of Health Information Systems and Technology unravels the mysteries of HIS by breaking these technologies down to their component parts, while articulating intricate concepts clearly and carefully in simple, reader-friendly language. The book provides a thorough yet unintimidating introduction to this complex and fascinating field. This book will provide undergraduate and early graduate students with a solid understanding not only of what is needed for a successful healthcare career in HIS, but also of the vast frontier that lies before us as we develop new tools to support improved methods of care, analytics, policy, research, and public health. Contents Include: • HIS overview • Systems and management • Biomedical informatics • Data and analytics • Research, policy, and public health • Future directions of HIS

Advanced Business Analytics

Author: Saumitra N. Bhaduri
Publisher: Springer
ISBN: 9789811007279
Release Date: 2016-08-13
Genre: Business & Economics

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.

Essentials of Modern Business Statistics with Microsoft Excel

Author: David Anderson
Publisher: Cengage Learning
ISBN: 9780840062383
Release Date: 2011-12-12
Genre: Business & Economics

ESSENTIALS OF MODERN BUSINESS STATISTICS, 5TH EDITION provides an introduction to business statistics that blends a conceptual understanding of statistics with the real-world application of statistical methodology. Microsoft Excel 2010 is integrated throughout the text, showing step-by-step instructions and screen captures to enhance student learning. The fifth edition contains the same student learning features that have made ASW products best-sellers for years, including the problem-scenario approach and real-world examples that introduce statistical techniques. A student companion site comes includes: Case Files, Example Files, Problem Files, Tutorials, Solvertable, Palisade DecisionTools (StatTools), Excel Tutorial. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Business Essentials for Strategic Communicators

Author: M. Ragas
Publisher: Springer
ISBN: 9781137385338
Release Date: 2014-12-17
Genre: Computers

The rise of digital media and the public's demand for transparency has elevated the importance of communication for every business. To have a voice or seat at the table and maximize their full value, a strategic communicator must be able to speak the language and understand business goals, issues, and trends. The challenge is that many communicators don't hold an MBA and didn't study business in college. Business Essentials for Strategic Communicators provides communication professionals and students with the essential 'Business 101' knowledge they need to navigate the business world with the best of them. Readers will learn the essentials of financial statements and terminology, the stock market, public companies, and more--all with an eye on how this knowledge helps them do their jobs better as communication professionals.

Business Analytics Data Analysis Decision Making

Author: S. Christian Albright
Publisher: Cengage Learning
ISBN: 9781337225274
Release Date: 2016-03-31
Genre: Business & Economics

Master data analysis, modeling, and spreadsheet use with BUSINESS ANALYTICS: DATA ANALYSIS AND DECISION MAKING, 6E! Popular with students, instructors, and practitioners, this quantitative methods text delivers the tools to succeed with its proven teach-by-example approach, user-friendly writing style, and complete Excel 2016 integration. It is also compatible with Excel 2013, 2010, and 2007. Completely rewritten, Chapter 17, Data Mining, and Chapter 18, Importing Data into Excel, include increased emphasis on the tools commonly included under the Business Analytics umbrella -- including Microsoft Excel’s “Power BI” suite. In addition, up-to-date problem sets and cases provide realistic examples to show the relevance of the material. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

The Essentials of Knowledge Management

Author: John S. Edwards
Publisher: Springer
ISBN: 9781137552105
Release Date: 2016-04-29
Genre: Computers

This book reviews the field of Knowledge Management, taking a holistic approach that includes both "soft" and "hard" aspects. It provides a broad perspective on the field, rather than one based on a single viewpoints from Computer Science or Organizational Learning, offering a comprehensive and integrated conception of Knowledge Management. The chapters represent the best Knowledge Management articles published in the 21st century in Knowledge Management Research & Practice and the European Journal of Information Systems, with contributors including Ikujiro Nonaka, Frada Burstein, and David Schwartz. Most of the chapters contribute significantly to practise as well as theory. The OR Essentials series presents a unique cross-section of high quality research work fundamental to understanding contemporary issues and research across a range of Operational Research topics. It brings together some of the best research papers from the highly respected journals of the Operational Research Society, also published by Palgrave Macmillan.

Data Mining for Business Analytics

Author: Galit Shmueli
Publisher: John Wiley & Sons
ISBN: 9781118879337
Release Date: 2017-09-12
Genre: Mathematics

Data Mining for Business Analytics: Concepts, Techniques, and Applications in R presents an applied approach to data mining concepts and methods, using R software for illustration Readers will learn how to implement a variety of popular data mining algorithms in R (a free and open-source software) to tackle business problems and opportunities. This is the fifth version of this successful text, and the first using R. It covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, recommender systems, clustering, text mining and network analysis. It also includes: • Two new co-authors, Inbal Yahav and Casey Lichtendahl, who bring both expertise teaching business analytics courses using R, and data mining consulting experience in business and government • Updates and new material based on feedback from instructors teaching MBA, undergraduate, diploma and executive courses, and from their students • More than a dozen case studies demonstrating applications for the data mining techniques described • End-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presented • A companion website with more than two dozen data sets, and instructor materials including exercise solutions, PowerPoint slides, and case solutions www.dataminingbook.com Data Mining for Business Analytics: Concepts, Techniques, and Applications in R is an ideal textbook for graduate and upper-undergraduate level courses in data mining, predictive analytics, and business analytics. This new edition is also an excellent reference for analysts, researchers, and practitioners working with quantitative methods in the fields of business, finance, marketing, computer science, and information technology. “ This book has by far the most comprehensive review of business analytics methods that I have ever seen, covering everything from classical approaches such as linear and logistic regression, through to modern methods like neural networks, bagging and boosting, and even much more business specific procedures such as social network analysis and text mining. If not the bible, it is at the least a definitive manual on the subject.” Gareth M. James, University of Southern California and co-author (with Witten, Hastie and Tibshirani) of the best-selling book An Introduction to Statistical Learning, with Applications in R Galit Shmueli, PhD, is Distinguished Professor at National Tsing Hua University’s Institute of Service Science. She has designed and instructed data mining courses since 2004 at University of Maryland, Statistics.com, Indian School of Business, and National Tsing Hua University, Taiwan. Professor Shmueli is known for her research and teaching in business analytics, with a focus on statistical and data mining methods in information systems and healthcare. She has authored over 70 publications including books. Peter C. Bruce is President and Founder of the Institute for Statistics Education at Statistics.com. He has written multiple journal articles and is the developer of Resampling Stats software. He is the author of Introductory Statistics and Analytics: A Resampling Perspective (Wiley) and co-author of Practical Statistics for Data Scientists: 50 Essential Concepts (O’Reilly). Inbal Yahav, PhD, is Professor at the Graduate School of Business Administration at Bar-Ilan University, Israel. She teaches courses in social network analysis, advanced research methods, and software quality assurance. Dr. Yahav received her PhD in Operations Research and Data Mining from the University of Maryland, College Park. Nitin R. Patel, PhD, is Chairman and cofounder of Cytel, Inc., based in Cambridge, Massachusetts. A Fellow of the American Statistical Association, Dr. Patel has also served as a Visiting Professor at the Massachusetts Institute of Technology and at Harvard University. He is a Fellow of the Computer Society of India and was a professor at the Indian Institute of Management, Ahmedabad, for 15 years. Kenneth C. Lichtendahl, Jr., PhD, is Associate Professor at the University of Virginia. He is the Eleanor F. and Phillip G. Rust Professor of Business Administration and teaches MBA courses in decision analysis, data analysis and optimization, and managerial quantitative analysis. He also teaches executive education courses in strategic analysis and decision-making, and managing the corporate aviation function.