Introduction to business analytics -- Analytics on spreadsheets -- Visualizing and exploring data -- Descriptive statistical measures -- Probability distributions and data modeling -- Sampling and estimation -- Statistical inference -- Trendlines and regression analysis -- Forecasting techniques -- Introduction to data mining -- Spreadsheet modeling and analysis -- Monte Carlo simulation and risk analysis -- Linear optimization -- Applications of linear optimization -- Integer optimization -- Decision analysis
A User's Guide to Business Analytics provides a comprehensive discussion of statistical methods useful to the business analyst. Methods are developed from a fairly basic level to accommodate readers who have limited training in the theory of statistics. A substantial number of case studies and numerical illustrations using the R-software package are provided for the benefit of motivated beginners who want to get a head start in analytics as well as for experts on the job who will benefit by using this text as a reference book. The book is comprised of 12 chapters. The first chapter focuses on business analytics, along with its emergence and application, and sets up a context for the whole book. The next three chapters introduce R and provide a comprehensive discussion on descriptive analytics, including numerical data summarization and visual analytics. Chapters five through seven discuss set theory, definitions and counting rules, probability, random variables, and probability distributions, with a number of business scenario examples. These chapters lay down the foundation for predictive analytics and model building. Chapter eight deals with statistical inference and discusses the most common testing procedures. Chapters nine through twelve deal entirely with predictive analytics. The chapter on regression is quite extensive, dealing with model development and model complexity from a user’s perspective. A short chapter on tree-based methods puts forth the main application areas succinctly. The chapter on data mining is a good introduction to the most common machine learning algorithms. The last chapter highlights the role of different time series models in analytics. In all the chapters, the authors showcase a number of examples and case studies and provide guidelines to users in the analytics field.
For one- and two-semester courses in introductory business statistics. Understand Business. Understand Data. The 3rd Edition of Statistics for Business: Decision Making and Analysis emphasizes an application-based approach, in which readers learn how to work with data to make decisions. In this contemporary presentation of business statistics, readers learn how to approach business decisions through a 4M Analytics decision making strategy–motivation, method, mechanics and message–to better understand how a business context motivates the statistical process and how the results inform a course of action. Each chapter includes hints on using Excel, Minitab Express, and JMP for calculations, pointing the reader in the right direction to get started with analysis of data. Also available with MyLab Statistics MyLab™ Statistics from Pearson is the world’s leading online resource for teaching and learning statistics; it integrates interactive homework, assessment, and media in a flexible, easy-to-use format. MyLab Statistics is a course management system that helps individual students succeed. It provides engaging experiences that personalize, stimulate, and measure learning for each student. Tools are embedded to make it easy to integrate statistical software into the course. Note: You are purchasing a standalone product; MyLab™does not come packaged with this content. Students, if interested in purchasing this title with MyLab, ask your instructor for the correct package ISBN and Course ID. Instructors, contact your Pearson representative for more information. If you would like to purchase both the physical text and MyLab, search for: 013450867X / 9780134508672 Statistics for Business: Decision Making and Analysis Plus MyLab Statistics with Pearson eText Package consists of: 0134497163 / 9780134497167 Statistics for Business: Decision Making and Analysis 032192147X / 9780321921475 MyLab Statistics for Business Statistics -- Glue-In Access Card 0321929713 / 9780321929716 MyLab Statistics for Business Statistics Sticker
Weaving Analytics for Effective Decision Making helps managers unleash the power of analytics. It provides a roadmap for implementing analytics and securing a high return on investment for the organization. The book is meant primarily for decision makers, business leaders and business problem solvers who are engaged in decision-making roles in organizations. Several books have established the need for analytics in decision making; this book moves one step ahead and explains how managers can maximize the benefits of analytics in organizations. It spells out the sequence business managers should adopt towards building business intelligence-driven organizations. Practicing analysts will also find this book helpful in redirecting their focus from the technical aspects of analytics towards a business orientation whereby they can focus on the value addition that analytical outputs provide to support decision making. The book will guide them to tailor their analytics towards creating business value and showcasing the same.
Decision making tools are essential for the successful outcome of any organization. Recent advances in predictive analytics have aided in identifying particular points of leverage where critical decisions can be made. Emerging Methods in Predictive Analytics: Risk Management and Decision Making provides an interdisciplinary approach to predictive analytics; bringing together the fields of business, statistics, and information technology for effective decision making. Managers, business professionals, and decision makers in diverse fields will find the applications and cases presented in this text essential in providing new avenues for risk assessment, management, and predicting the future outcomes of their decisions.
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.
NOTE: Before purchasing, check with your instructor to confirm the correct ISBN. Several versions of the MyLab(tm) and Mastering(tm) platforms exist for each title, and registrations are not transferable. To register for and use MyLab or Mastering, you may also need a Course ID, which your instructor will provide. Used books, rentals, and purchases made outside of Pearson If purchasing or renting from companies other than Pearson, the access codes for the MyLab platform may not be included, may be incorrect, or may be previously redeemed. Check with the seller before completing your purchase. For undergraduate or graduate business students. This package includes MyLab Business Statistics. A balanced and holistic approach to business analytics Business Analytics teaches the fundamental concepts of modern business analytics and provides vital tools in understanding how data analysis works in today's organizations. Author James Evans takes a fair and comprehensive, approach, examining business analytics from both descriptive and predictive perspectives. Students learn how to apply basic principles, communicate with analytics professionals, and effectively use and interpret analytic models to make better business decisions. And included access to commercial grade analytics software gives students real-world experience and career-focused value. As such, the 3rd Edition has gone through an extensive revision and now relies solely on Excel, enhancing students' skills in the program and basic understanding of fundamental concepts. Additionally, Analytic Solver can now be found in online supplements to accommodate any new software updates, so students are prepared to use these same tools when they graduate. Personalize learning with MyLab Business Statistics By combining trusted author content with digital tools and a flexible platform, MyLab personalizes the learning experience and improves results for each student. For example, new Excel and StatCrunch Projects help students develop business decision-making skills. 013586027X / 9780135860274 Business Analytics Plus MyLab Statistics with Pearson eText -- Access Card Package Package consists of: 0135231671 / 9780135231678 Business Analytics 0135229294 / 9780135229293 MyLab Statistics with Pearson eText -- Standalone Access Card -- for Business Analytics
Empowering Your Organization with Effective Data Communication
Author: Zach Gemignani
Publisher: John Wiley & Sons
A dream come true for those looking to improve their datafluency Analytical data is a powerful tool for growing companies, butwhat good is it if it hides in the shadows? Bring your data to theforefront with effective visualization and communicationapproaches, and let Data Fluency: Empowering YourOrganization with Effective Communication show you thebest tools and strategies for getting the job done right. Learn thebest practices of data presentation and the ways that reporting anddashboards can help organizations effectively gauge performance,identify areas for improvement, and communicate results. Topics covered in the book include data reporting andcommunication, audience and user needs, data presentation tools,layout and styling, and common design failures. Those responsiblefor analytics, reporting, or BI implementation will find arefreshing take on data and visualization in this resource, as willreport, data visualization, and dashboard designers. Conquer the challenge of making valuable data approachable andeasy to understand Develop unique skills required to shape data to the needs ofdifferent audiences Full color book links to bonus content atjuiceanalytics.com Written by well-known and highly esteemed authors in the datapresentation community Data Fluency: Empowering Your Organization with EffectiveCommunication focuses on user experience, making reportsapproachable, and presenting data in a compelling, inspiring way.The book helps to dissolve the disconnect between your data andthose who might use it and can help make an impact on the peoplewho are most affected by data. Use Data Fluency today todevelop the skills necessary to turn data into effective displaysfor decision-making.
Built on the theme of statistical thinking, this book presents statistics as a complete body of knowledge rather than a collection of mathematical techniques. Chapters integrate quality management coverage and build upon previous concepts to encourage problem solving. The text is intended for use in conjunction with statistical software or spreadsheets. Each chapter presents computer output with appendices highlighting step-by-step instructions for Minitab and SAS.
For one-semester business statistics courses. A focus on using statistical methods to analyze and interpret results to make data-informed business decisions Statistics is essential for all business majors, and Business Statistics: A First Course helps students see the role statistics will play in their own careers by providing examples drawn from all functional areas of business. Guided by the principles set forth by major statistical and business science associations (ASA and DSI), plus the authors' diverse experiences, the 8th Edition continues to innovate and improve the way this course is taught to all students. With new examples, case scenarios, and problems, the text continues its tradition of focusing on the interpretation of results, evaluation of assumptions, and discussion of next steps that lead to data-informed decision making. The authors feel that this approach, rather than a focus on manual calculations, better serves students in their future careers. This brief offering, created to fit the needs of a one-semester course, is part of the established Berenson/Levine series. Also available with MyLab Business Statistics By combining trusted author content with digital tools and a flexible platform, MyLab personalizes the learning experience and improves results for each student. For example, with Excel Projects students can organize, analyze, and interpret data, helping them hone their business decision-making skills. Note: You are purchasing a standalone product; MyLab Business Statistics does not come packaged with this content. Students, if interested in purchasing this title with MyLab Business Statistics, ask your instructor to confirm the correct package ISBN and Course ID. Instructors, contact your Pearson representative for more information. If you would like to purchase both the physical text and MyLab Business Statistics, search for: 0135860202 / 9780135860205 Business Statistics: A First Course Plus MyLab Statistics with Pearson eText -- Access Card Package Package consists of: 0135177782 / 9780135177785 Business Statistics: A First Course 0135443024 / 9780135443026 MyLab Statistics with Pearson eText -- Standalone Access Card -- for Business Statistics: A First Course