Essentials of Business Analytics

Author: Jeffrey D. Camm,James J. Cochran,Michael J. Fry,Jeffrey W. Ohlmann,David R. Anderson

Publisher: Cengage Learning

ISBN: 1337015628

Category: Business & Economics

Page: 896

View: 7066

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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,James J. Cochran,Michael J. Fry,Jeffrey W. Ohlmann,David R. Anderson

Publisher: Cengage Learning

ISBN: 9781337406420

Category: Business & Economics

Page: 50

View: 4470

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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,James J. Cochran,Michael J. Fry,Jeffrey W. Ohlmann,David R. Anderson

Publisher: Cengage Learning

ISBN: 1305627733

Category: Business & Economics

Page: 896

View: 4603

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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,Dennis J. Sweeney,Thomas A. Williams,Jeffrey D. Camm,James J. Cochran

Publisher: Cengage Learning

ISBN: 1133629652

Category: Business & Economics

Page: 752

View: 6898

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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.

Win with Advanced Business Analytics

Creating Business Value from Your Data

Author: Jean-Paul Isson,Jesse Harriott

Publisher: John Wiley & Sons

ISBN: 1118417089

Category: Business & Economics

Page: 416

View: 5767

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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

An Introduction

Author: Jay Liebowitz

Publisher: CRC Press

ISBN: 1466596104

Category: Business & Economics

Page: 288

View: 8297

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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: Data Analysis & Decision Making

Author: S. Christian Albright,Wayne L. Winston

Publisher: Cengage Learning

ISBN: 1337225274

Category: Business & Economics

Page: 984

View: 2893

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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.

Introduction to Business Analytics Using Simulation

Author: Jonathan P. Pinder

Publisher: Academic Press

ISBN: 0128104864

Category: Business & Economics

Page: 448

View: 2352

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Introduction to Business Analytics Using Simulation employs an innovative strategy to teach business analytics. It 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 the uncertainty and variability of business, this comprehensive book provides a better foundation for business analytics than standard introductory business analytics books. Students will gain a better understanding of fundamental statistical concepts that are essential to marketing research, Six-Sigma, financial analysis, and business analytics. Winner of the 2017 Textbook and Academic Authors Association (TAA) Most Promising New Textbook Award 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

Business Essentials for Strategic Communicators

Creating Shared Value for the Organization and its Stakeholders

Author: M. Ragas,E. Culp

Publisher: Springer

ISBN: 1137385332

Category: Computers

Page: 211

View: 8236

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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.

FUNDAMENTALS OF BUSINESS ANALYTICS (With CD )

Author: R.N.Prasad,Seema Acharya

Publisher: John Wiley & Sons

ISBN: N.A

Category:

Page: 348

View: 7837

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Market_Desc: Primary MarketEngineering (BE/BTech)/ME/MTech students who are interested to develop conceptual level subject knowledge with examples of industrial strength applications.Secondary MarketMCA/MBA/Business users/business analysts Special Features: · Foreword by Prof R Natarajan, Former Chairman, AICTE, Former Director, IIT Madras.· Excellent authorship.· Single source of introductory knowledge on business intelligence (BI).· Provides a good start for first-time learners typically from the engineering and management discipline.· Covers the complete life cycle of BI/Analytics Application development project.· Helps develop deeper understanding of the subject with an enterprise context, and discusses its application in businesses.· Explains concepts with the help of illustrations, application to real-life scenarios and provides opportunities to test understanding.· States the pre-requisites for each chapter and different reference sources available.· In addition the book also has the following pedagogical features:· Industrial application case studies.· Crossword puzzles/do it yourself exercises/assignments to help with self-assessment. The solutions to these have also been provided. · Glossary of terms.· References/web links/bibliography - generally at the end of every concept.CD Companion:To ensure that concepts can be practiced for deeper understanding at low cost, the book is accompanied with a CD containing:· Step-by-step Hands-On manual on:ü An open source tool, Pentaho Data Integrator (PDI) to explain the process of extraction of data from multiple varied sources.ü MS Excel to explain the concept of analysis.ü MS Access to generate reports on the analyzed data.· An integrated project that encompasses the complete life cycle of a BI project. About The Book: The book promises to be a single source of introductory knowledge on business intelligence which can be taught in one semester. It will provide a good start for first time learners typically from the engineering and management discipline. Business Intelligence subject cannot be studied in isolation. The book provides a holistic coverage beginning with an enterprise context, developing deeper understanding through the use of tools, touching a few domains where BI is embraced and discussing the problems that BI can help solve. It covers the complete life cycle of BI/Analytics project: Covering operational/transactional data sources, data transformation, data mart/warehouse design-build, analytical reporting, and dashboards. To ensure that concepts can be practiced for deeper understanding at low cost, the book is accompanied with step-by-step hands-on manual in the CD.

Databases for Small Business

Essentials of Database Management, Data Analysis, and Staff Training for Entrepreneurs and Professionals

Author: Anna Manning

Publisher: Apress

ISBN: 1484202775

Category: Computers

Page: 318

View: 1590

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This book covers the practical aspects of database design, data cleansing, data analysis, and data protection, among others. The focus is on what you really need to know to create the right database for your small business and to leverage it most effectively to spur growth and revenue. Databases for Small Business is a practical handbook for entrepreneurs, managers, staff, and professionals in small organizations who are not IT specialists but who recognize the need to ramp up their small organizations’ use of data and to round out their own business expertise and office skills with basic database proficiency. Anna Manning—a data scientist who has worked on database design and data analysis in a computer science university research lab, her own small business, and a nonprofit—walks you through the progression of steps that will enable you to extract actionable intelligence and maximum value from your business data in terms of marketing, sales, customer relations, decision making, and business strategy. Dr. Manning illustrates the steps in the book with four running case studies of a small online business, an engineering startup, a small legal firm, and a nonprofit organization. Databases for Small Business teaches non-techie entrepreneurs and professionals how to: Design a small business database from scratch Extract the maximum profit from your data Follow guidance on data protection law Effectively use data collection and data cleansing techniques Train staff to leverage your data

Data Science for Business

What You Need to Know about Data Mining and Data-Analytic Thinking

Author: Foster Provost,Tom Fawcett

Publisher: "O'Reilly Media, Inc."

ISBN: 144937428X

Category: Computers

Page: 414

View: 8021

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Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today. Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making. Understand how data science fits in your organization—and how you can use it for competitive advantage Treat data as a business asset that requires careful investment if you’re to gain real value Approach business problems data-analytically, using the data-mining process to gather good data in the most appropriate way Learn general concepts for actually extracting knowledge from data Apply data science principles when interviewing data science job candidates

Advanced Business Analytics

Essentials for Developing a Competitive Advantage

Author: Saumitra N. Bhaduri,David Fogarty

Publisher: Springer

ISBN: 9811007276

Category: Business & Economics

Page: 156

View: 4113

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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.

Winning With Data

CRM and Analytics for the Business of Sports

Author: Fiona Green

Publisher: Routledge

ISBN: 1351610333

Category: Business & Economics

Page: 194

View: 1056

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For many years, sports rights owners have had an ‘if you build it, they will come’ attitude, suggesting they take their fans for granted. Combined with advances in broadcasting quality, digital marketing, and social media, this has resulted in diminishing attendances and participation levels. The use of CRM (Customer Relationship Management), BI (Business Intelligence) and Data Analytics has therefore become integral to doing business in sports, emulating the approach used by brands such as Amazon, Netflix, and Spotify. Technology has made the world a smaller place; clubs and teams can now connect with their fans anywhere in the world, allowing them to grow their marketplace, but they operate in an ‘attention economy’ where there’s too much choice and engagement is key. This book sets out to share the processes and principles the sports industry uses to capitalise on the natural loyalty it creates. Case studies and commentary from around the world are used to demonstrate some of the practices implemented by the world’s leading sports brands including clubs Arsenal and the San Antonio Spurs. the governing bodies of UEFA and Special Olympics International, and the MLS and NHL. With a focus on our unique challenges coupled with the opportunities the use of data creates, this book is essential reading for professionals within the sports industry.

Essentials of Modeling and Analytics

Retail Risk Management and Asset Protection

Author: David B. Speights,Daniel M. Downs,Adi Raz

Publisher: Routledge

ISBN: 1351656031

Category: Business & Economics

Page: 328

View: 3633

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Essentials of Modeling and Analytics illustrates how and why analytics can be used effectively by loss prevention staff. The book offers an in-depth overview of analytics, first illustrating how analytics are used to solve business problems, then exploring the tools and training that staff will need in order to engage solutions. The text also covers big data analytical tools and discusses if and when they are right for retail loss prevention professionals, and illustrates how to use analytics to test the effectiveness of loss prevention initiatives. Ideal for loss prevention personnel on all levels, this book can also be used for loss prevention analytics courses.

BUSINESS ANALYTICS

An application focus

Author: PURBA HALADY RAO

Publisher: PHI Learning Pvt. Ltd.

ISBN: 8120348192

Category: Business & Economics

Page: 256

View: 5728

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Business Analytics refers to various categories of analytical approaches for modelling different business situations and arriving at solutions and strategies for optimal decision-making in marketing, finance, operations, organizational behaviour and other managerial processes. Thus, Business Analytics today refers to different approaches for modelling and arriving at assessing and predicting risk, predicting market preferences, project feasibility, customer segmentation, inherent and underlying dimensions in consumer preferences, factors leading to probability of purchase, preferred segments in financial and credit card industry, probability of attrition in large organizations, etc.The myriad of modelling and other analytical approaches which constitute Business Analytical applications in Indian Industry today include predominantly:• Determining which attributes in a product are considered significant by the market and which are found to be significantly satisfactory—Gap Analysis.• Analytical Modelling by Factor and Cluster Analysis.• Analytical Modelling by Logistics Regression and Discriminant Analysis.• Segmentation of primary target market by Heuristic Modelling such as RFM (recency, frequency, monetary) analysis.• Segmentation of target market based on large databases using Decision Tree approaches such as CHAID (Chi-square Automatic Interaction Detection) and other Classification and Regression Trees.• Determining Linkages between unobserved constructs such as customer satisfaction and factors leading to it, using Structural Equation Modelling (SEM).• Determining relative preferences in consumer perceptions by Conjoint Analysis.In this book, the author has discussed these analytical approaches following a classroom teaching format, drawing from her extensive teaching experience spanning over 30 years. The book first discusses all important concepts and then case studies are discussed which emulate real-life managerial situations.This textbook is designed to serve the needs of management students for a course in Business Analytics.

R for Business Analytics

Author: A Ohri

Publisher: Springer Science & Business Media

ISBN: 1461443423

Category: BUSINESS & ECONOMICS

Page: 312

View: 9116

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R for Business Analytics looks at some of the most common tasks performed by business analysts and helps the user navigate the wealth of information in R and its 4000 packages. With this information the reader can select the packages that can help process the analytical tasks with minimum effort and maximum usefulness. The use of Graphical User Interfaces (GUI) is emphasized in this book to further cut down and bend the famous learning curve in learning R. This book is aimed to help you kick-start with analytics including chapters on data visualization, code examples on web analytics and social media analytics, clustering, regression models, text mining, data mining models and forecasting. The book tries to expose the reader to a breadth of business analytics topics without burying the user in needless depth. The included references and links allow the reader to pursue business analytics topics. This book is aimed at business analysts with basic programming skills for using R for Business Analytics. Note the scope of the book is neither statistical theory nor graduate level research for statistics, but rather it is for business analytics practitioners. Business analytics (BA) refers to the field of exploration and investigation of data generated by businesses. Business Intelligence (BI) is the seamless dissemination of information through the organization, which primarily involves business metrics both past and current for the use of decision support in businesses. Data Mining (DM) is the process of discovering new patterns from large data using algorithms and statistical methods. To differentiate between the three, BI is mostly current reports, BA is models to predict and strategize and DM matches patterns in big data. The R statistical software is the fastest growing analytics platform in the world, and is established in both academia and corporations for robustness, reliability and accuracy. The book utilizes Albert Einstein’s famous remarks on making things as simple as possible, but no simpler. This book will blow the last remaining doubts in your mind about using R in your business environment. Even non-technical users will enjoy the easy-to-use examples. The interviews with creators and corporate users of R make the book very readable. The author firmly believes Isaac Asimov was a better writer in spreading science than any textbook or journal author.

The Essentials of Data Science: Knowledge Discovery Using R

Author: Graham J. Williams

Publisher: CRC Press

ISBN: 1351647490

Category: Business & Economics

Page: 322

View: 3058

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The Essentials of Data Science: Knowledge Discovery Using R presents the concepts of data science through a hands-on approach using free and open source software. It systematically drives an accessible journey through data analysis and machine learning to discover and share knowledge from data. Building on over thirty years’ experience in teaching and practising data science, the author encourages a programming-by-example approach to ensure students and practitioners attune to the practise of data science while building their data skills. Proven frameworks are provided as reusable templates. Real world case studies then provide insight for the data scientist to swiftly adapt the templates to new tasks and datasets. The book begins by introducing data science. It then reviews R’s capabilities for analysing data by writing computer programs. These programs are developed and explained step by step. From analysing and visualising data, the framework moves on to tried and tested machine learning techniques for predictive modelling and knowledge discovery. Literate programming and a consistent style are a focus throughout the book.