Business Analytics  Global Edition Book

Business Analytics Global Edition


  • Author : James R. Evans
  • Publisher : Unknown
  • Release Date : 2016-01-29
  • Genre: Business planning
  • Pages : 656
  • ISBN 10 : 129209544X

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Business Analytics Global Edition Excerpt :

A balanced and holistic approach to business analytics 'Business Analytics', teaches the fundamental concepts of the emerging field of business analytics and provides vital tools in understanding how data analysis works in today's organizations. Students will learn to apply basic business analytics principles, communicate with analytics professionals, and effectively use and interpret analytic models to make better business decisions.

Business Analytics Book

Business Analytics


  • Author : Jay Liebowitz
  • Publisher : CRC Press
  • Release Date : 2013-12-19
  • Genre: Business & Economics
  • Pages : 288
  • ISBN 10 : 9781466596108

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Business Analytics Excerpt :

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

Business Analytics Book

Business Analytics


  • Author : Walter R. Paczkowski
  • Publisher : Springer Nature
  • Release Date : 2022-01-03
  • Genre: Business & Economics
  • Pages : 387
  • ISBN 10 : 9783030870232

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Business Analytics Excerpt :

This book focuses on three core knowledge requirements for effective and thorough data analysis for solving business problems. These are a foundational understanding of: 1. statistical, econometric, and machine learning techniques; 2. data handling capabilities; 3. at least one programming language. Practical in orientation, the volume offers illustrative case studies throughout and examples using Python in the context of Jupyter notebooks. Covered topics include demand measurement and forecasting, predictive modeling, pricing analytics, customer satisfaction assessment, market and advertising research, and new product development and research. This volume will be useful to business data analysts, data scientists, and market research professionals, as well as aspiring practitioners in business data analytics. It can also be used in colleges and universities offering courses and certifications in business data analytics, data science, and market research.

Business Analytics  Data Analysis   Decision Making Book

Business Analytics Data Analysis Decision Making


  • Author : S. Christian Albright
  • Publisher : Cengage Learning
  • Release Date : 2016-03-31
  • Genre: Business & Economics
  • Pages : 984
  • ISBN 10 : 9781337225274

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Business Analytics Data Analysis Decision Making Excerpt :

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.

Win with Advanced Business Analytics Book

Win with Advanced Business Analytics


  • Author : Jean-Paul Isson
  • Publisher : John Wiley & Sons
  • Release Date : 2012-09-25
  • Genre: Business & Economics
  • Pages : 416
  • ISBN 10 : 9781118417089

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Win with Advanced Business Analytics Excerpt :

Plain English guidance for strategic business analytics and bigdata implementation In today's challenging economy, business analytics and big datahave become more and more ubiquitous. While some businesses don'teven know where to start, others are struggling to move from beyondbasic reporting. In some instances management and executives do notsee the value of analytics or have a clear understanding ofbusiness analytics vision mandate and benefits. Win withAdvanced Analytics focuses on integrating multiple types ofintelligence, such as web analytics, customer feedback, competitiveintelligence, customer behavior, and industry intelligence intoyour business practice. Provides the essential concept and framework to implementbusiness analytics Written clearly for a nontechnical audience Filled with case studies across a variety of industries Uniquely focuses on integrating multiple types of big dataintelligence into your business Companies now operate on a global scale and are inundated with alarge volume of data from multiple locations and sources: B2B data,B2C data, traffic data, transactional data, third party vendordata, macroeconomic data, etc. Packed with case studies frommultiple countries across a variety of industries, Win withAdvanced Analytics provides a comprehensive framework andapplications of how to leverage business analytics/big data tooutpace the competition.

Business Analysis For Dummies Book

Business Analysis For Dummies


  • Author : Kupe Kupersmith
  • Publisher : John Wiley & Sons
  • Release Date : 2013-07-01
  • Genre: Business & Economics
  • Pages : 384
  • ISBN 10 : 9781118510636

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Business Analysis For Dummies Excerpt :

Your go-to guide on business analysis Business analysis refers to the set of tasks and activities thathelp companies determine their objectives for meeting certainopportunities or addressing challenges and then help them definesolutions to meet those objectives. Those engaged in businessanalysis are charged with identifying the activities that enablethe company to define the business problem or opportunity, definewhat the solutions looks like, and define how it should behave inthe end. As a BA, you lay out the plans for the processahead. Business Analysis For Dummies is the go to reference onhow to make the complex topic of business analysis easy tounderstand. Whether you are new or have experience with businessanalysis, this book gives you the tools, techniques, tips andtricks to set your project’s expectations and on the path tosuccess. Offers guidance on how to make an impact in your organizationby performing business analysis Shows you the tools and techniques to be an effective businessanalysis professional Provides a number of examples on how to perform businessanalysis regardless of your role If you're interested in learning about the tools and techniquesused by successful business analysis professionals, BusinessAnalysis For Dummies has you covered.

Sport Business Analytics Book

Sport Business Analytics


  • Author : C. Keith Harrison
  • Publisher : CRC Press
  • Release Date : 2016-11-18
  • Genre: Computers
  • Pages : 236
  • ISBN 10 : 9781315350622

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Sport Business Analytics Excerpt :

Developing and implementing a systematic analytics strategy can result in a sustainable competitive advantage within the sport business industry. This timely and relevant book provides practical strategies to collect data and then convert that data into meaningful, value-added information and actionable insights. Its primary objective is to help sport business organizations utilize data-driven decision-making to generate optimal revenue from such areas as ticket sales and corporate partnerships. To that end, the book includes in-depth case studies from such leading sports organizations as the Orlando Magic, Tampa Bay Buccaneers, Duke University, and the Aspire Group. The core purpose of sport business analytics is to convert raw data into information that enables sport business professionals to make strategic business decisions that result in improved company financial performance and a measurable and sustainable competitive advantage. Readers will learn about the role of big data and analytics in: Ticket pricing Season ticket member retention Fan engagement Sponsorship valuation Customer relationship management Digital marketing Market research Data visualization. This book examines changes in the ticketing marketplace and spotlights innovative ticketing strategies used in various sport organizations. It shows how to engage fans with social media and digital analytics, presents techniques to analyze engagement and marketing strategies, and explains how to utilize analytics to leverage fan engagement to enhance revenue for sport organizations. Filled with insightful case studies, this book benefits both sports business professionals and students. The concluding chapter on teaching sport analytics further enhances its value to academics.

Getting Started with Business Analytics Book

Getting Started with Business Analytics


  • Author : David Roi Hardoon
  • Publisher : CRC Press
  • Release Date : 2013-03-26
  • Genre: Business & Economics
  • Pages : 190
  • ISBN 10 : 9781439896532

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Getting Started with Business Analytics Excerpt :

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 for data 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.

Customer and Business Analytics Book

Customer and Business Analytics


  • Author : Daniel S. Putler
  • Publisher : CRC Press
  • Release Date : 2015-09-15
  • Genre: Business & Economics
  • Pages : 315
  • ISBN 10 : 9781498759700

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Customer and Business Analytics Excerpt :

Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R explains and demonstrates, via the accompanying open-source software, how advanced analytical tools can address various business problems. It also gives insight into some of the challenges faced when deploying these tools. Extensively classroom-tested, the text is ideal for students in customer and business analytics or applied data mining as well as professionals in small- to medium-sized organizations. The book offers an intuitive understanding of how different analytics algorithms work. Where necessary, the authors explain the underlying mathematics in an accessible manner. Each technique presented includes a detailed tutorial that enables hands-on experience with real data. The authors also discuss issues often encountered in applied data mining projects and present the CRISP-DM process model as a practical framework for organizing these projects. Showing how data mining can improve the performance of organizations, this book and its R-based software provide the skills and tools needed to successfully develop advanced analytics capabilities.

A PRACTITIONER S GUIDE TO BUSINESS ANALYTICS  Using Data Analysis Tools to Improve Your Organization   s Decision Making and Strategy Book

A PRACTITIONER S GUIDE TO BUSINESS ANALYTICS Using Data Analysis Tools to Improve Your Organization s Decision Making and Strategy


  • Author : Randy Bartlett
  • Publisher : McGraw Hill Professional
  • Release Date : 2013-01-25
  • Genre: Business & Economics
  • Pages : 256
  • ISBN 10 : 9780071807609

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A PRACTITIONER S GUIDE TO BUSINESS ANALYTICS Using Data Analysis Tools to Improve Your Organization s Decision Making and Strategy Excerpt :

Gain the competitive edge with the smart use of business analytics In today’s volatile business environment, the strategic use of business analytics is more important than ever. A Practitioners Guide to Business Analytics helps you get the organizational commitment you need to get business analytics up and running in your company. It provides solutions for meeting the strategic challenges of applying analytics, such as: Integrating analytics into decision making, corporate culture, and business strategy Leading and organizing analytics within the corporation Applying statistical qualifications, statistical diagnostics, and statistical review Providing effective building blocks to support analytics—statistical software, data collection, and data management Randy Bartlett, Ph.D., is Chief Statistical Officer of the consulting company Blue Sigma Analytics. He currently works with Infosys, where he has helped build their new Business Analytics practice.

Predictive Business Analytics Book

Predictive Business Analytics


  • Author : Lawrence Maisel
  • Publisher : John Wiley & Sons
  • Release Date : 2013-09-26
  • Genre: Business & Economics
  • Pages : 272
  • ISBN 10 : 9781118240151

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Predictive Business Analytics Excerpt :

Discover the breakthrough tool your company can use to makewinning decisions This forward-thinking book addresses the emergence of predictivebusiness analytics, how it can help redefine the way yourorganization operates, and many of the misconceptions that impedethe adoption of this new management capability. Filled with caseexamples, Predictive Business Analytics defines ways inwhich specific industries have applied these techniques and toolsand how predictive business analytics can complement otherfinancial applications such as budgeting, forecasting, andperformance reporting. Examines how predictive business analytics can help yourorganization understand its various drivers of performance, theirrelationship to future outcomes, and improve managerialdecision-making Looks at how to develop new insights and understand businessperformance based on extensive use of data, statistical andquantitative analysis, and explanatory and predictive modeling Written for senior financial professionals, as well as generaland divisional senior management Visionary and effective, Predictive Business Analyticsreveals how you can use your business's skills, technologies,tools, and processes for continuous analysis of past businessperformance to gain forward-looking insight and drive businessdecisions and actions.

Business Analytics Book

Business Analytics


  • Author : Richard Vidgen
  • Publisher : Bloomsbury Publishing
  • Release Date : 2019-09-28
  • Genre: Business & Economics
  • Pages : 430
  • ISBN 10 : 9781350304772

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Business Analytics Excerpt :

This exciting new textbook offers an accessible, business-focused overview of the key theoretical concepts underpinning modern data analytics. It provides engaging and practical advice on using the key software tools, including SAS Visual Analytics, R and DataRobot, that are used in organisations to help make effective data-driven decisions. Combining theory with hands-on practical examples, this essential text includes cutting edge coverage of new areas of interest including social media analytics, design thinking and the ethical implications of using big data. A wealth of learning features including exercises, cases, online resources and data sets help students to develop analytic problem-solving skills. With its management perspective on analytics and its coverage of a range of popular software tools, this is an ideal essential text for upper-level undergraduate, postgraduate and MBA students. It is also ideal for practitioners wanting to understand the broader organisational context of big data analysis and to engage critically with the tools and techniques of business analytics.

Introduction to Business Analytics Using Simulation Book

Introduction to Business Analytics Using Simulation


  • Author : Jonathan P. Pinder
  • Publisher : Academic Press
  • Release Date : 2022-02-06
  • Genre: Business & Economics
  • Pages : 512
  • ISBN 10 : 9780323991179

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Introduction to Business Analytics Using Simulation Excerpt :

Introduction to Business Analytics Using Simulation, Second Edition employs an innovative strategy to teach business analytics. The book uses simulation modeling and analysis as mechanisms to introduce and link predictive and prescriptive modeling. Because managers can't fully assess what will happen in the future, but must still make decisions, the book treats uncertainty as an essential element in decision-making. Its use of simulation gives readers a superior way of analyzing past data, understanding an uncertain future, and optimizing results to select the best decision. With its focus on uncertainty and variability, this book provides a comprehensive foundation for business analytics. Students will gain a better understanding of fundamental statistical concepts that are essential to marketing research, Six-Sigma, financial analysis, and business analytics. Teaches managers how they can use business analytics to formulate and solve business problems to enhance managerial decision-making Explains the processes needed to develop, report and analyze business data Describes how to use and apply business analytics software Offers expanded coverage on the value and application of prescriptive analytics Includes a wealth of illustrative exercises that are newly organized by difficulty level Winner of the 2017 Textbook and Academic Authors Association's (TAA) Most Promising New Textbook Award in the prior edition

SAP Business Analytics Book

SAP Business Analytics


  • Author : Sudipa DuttaRoy
  • Publisher : Apress
  • Release Date : 2016-11-12
  • Genre: Computers
  • Pages : 103
  • ISBN 10 : 9781484213834

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SAP Business Analytics Excerpt :

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 data The strategies that need to be in place to gather relevant data from disparate systems Details about the SAP business analytics suite of products The technical implementations used to gather data from disparate systems such as ERP and CRM Real business cases as examples Analytics 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 Learn Gain an understanding of business analytics in general Absorb the technical details of the SAP business analytics suite of products Discover the challenges faced during an enterprise-level analytics project implementation Learn the key points to be kept in mind during the technical implementation of an SAP business analytics project Who This Book Is For Analytics strategists, BI managers, BI architects, business analysts, and BI developers.

Applied Sport Business Analytics Book

Applied Sport Business Analytics


  • Author : Christopher Atwater
  • Publisher : Human Kinetics
  • Release Date : 2022-02-21
  • Genre: Sports & Recreation
  • Pages : 216
  • ISBN 10 : 9781492598541

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Applied Sport Business Analytics Excerpt :

Applied Sport Business Analytics With HKPropel Access provides a practical explanation of the use of data analytic metrics in sport, exploring selected techniques and tools as well as addressing fundamental applications of analytics within modern sports organizations. Current and aspiring sport managers will develop their understanding of how analytics can be used strategically to make data-informed decisions by selecting and translating data into evidence and meaningful metrics. The text begins with an introduction to the world of analytics, exploring the social, economic, and business foundations that form the history of data analytics. Different strategies used to make data-driven decisions are discussed to demonstrate the importance of analytics in a modern sport context. The text explains terms and methods that are typical in sport analytics, bridging the gap between sport managers and sport analysts to help them understand the perceptions and needs of one another. The text’s focus on quantitative statistical analysis—with its exploration of modeling, predictive analytics, and forecasting—helps students learn how to analyze data and make use of it. Students will then learn to turn data into visual representations such as cluster diagrams to reveal clear results. With practical exercises that utilize five included datasets and are heavily support by related video tutorials delivered through HKPropel, even those without programming experience will learn how to program and transform complex statistical data into easy-to-understand visuals. Case studies exploring real-world scenarios—including player position analysis in women's professional basketball, esport player popularity and market analysis, and prospective player evaluation for the NFL draft—examine managerial implications to help develop understanding of what questions to ask, how to interpret data, and how to use data to make informed decisions. Finally, an in-depth look at how cutting-edge anal