Business Analytics: Solving Business Problems With R($102.66Value)

Description

Businesses typically encounter problems first and then seek out analytical methods to help in decision making. Business Analytics: Solving Business Problems with R by Arul Mishra and Himanshu Mishra offers practical, data-driven solutions for today′s dynamic business environment. This text helps students see the real-world potential of analytical methods to help meet their business challenges by demonstrating the application of crucial methods. These methods are cutting edge, including neural nets, natural language processing, and boosted decision trees. Applications throughout the book, including pricing models, social sentiment analysis, and branding show students how to use these analytical methods in real business settings, including Frito-Lay, Netflix, and Zappos. Step-by-step R code with commentary gives readers the tools to adapt each method to their business settings. The book offers comprehensive coverage across diverse business domains, including finance, marketing, human resources, operations, and accounting. Finally, an entire chapter explores equity and fairness in analytical methods, as well as the techniques that can be used to mitigate biases and enhance equity in the results. Included with this title: LMS Cartridge: Import this title’s instructor resources into your school’s learning management system (LMS) and save time. Don’t use an LMS? You can still access all of the same online resources for this title via the password-protected Instructor Resource Site. A thorough and in-depth overview of data analysis with a focus of practical usage using industry-focused examples and accurate use cases. -- Brad D. Messner The book provides a business-specific, applied introduction to business analytics. It incorporates multiple business disciplines and perspectives so that students can understand ways that algorithms can be applied in business practice. The chapters are organized by application so that students can see multiple implementations of data science concepts. -- Thomas A. Hanson This is an advanced textbook that provides a practical approach to data analytics, algorithms, and modeling techniques in a business setting. -- Aeron Zentner One of the greatest strengths of this book is that it focuses on R through a lens of business problems rather than code. The book provides good explanation about the underlying issues, such as loan charge-off, risk analysis, and more. -- Yavuz Keceli A unique approach to Business Analytics with a focus on different application domains from External Environment Analytics to Supply Chain Analytics. -- Anita Lee-Post This text would provide for the opportunity to expand the skills of students and offer one a way to broaden the content covered in an advanced undergraduate course or first year graduate course. I think that the coverage of PCA and Text Analysis is particularly good and is becoming more and more mainstream. Thus, these are topics that need to be covered even at the undergraduate level but are difficult to fit into a single course. This text could provide the opportunity deal with that problem. -- Joel Kincaid Good data analytics text using R that you can customize for program needs based upon discipline focus. -- Kevin S. Walker This book is well-grounded in practical business decision making and includes straightforward discussion and interpretation of statistical output. -- John L. Sparco The content of this book is thorough, with each chapter including a case study and R code example. -- Yue Han The text provides a highly practical, application-driven approach to analytics. It bridges theory and real-world business decision-making through hands-on R examples, making it an ideal resource for students to build both analytical skills and problem-solving confidence in today’s data-driven business environment. -- Dr Chikezie Emele ― drupal Published On: 2025-09-30 I am recommending (but not requiring) this book in my course. It is interesting and useful, but I have some questions about the depth of the coverage of R versus the coverage of Business Analytics. -- Dr Jose Mendoza ― drupal Published On: 2024-05-22 I could not access the book. It is shown in the cart, but I cannot do anything about it. So, no chance to review the book. Your system seems to have a problem. -- Professor Dohoon Kim ― drupal Published On: 2025-01-16 Arul Mishra is the Emma Eccles Jones Presidential Chair Professor of Marketing and Adjunct Professor, School of Computing at the University of Utah. Her research, on a broader level, uses machine learning methods to understand customer decisions and guide firm strategies. Specifically, she derives theoretical and practical insights from data using computational algorithms to understand customer engagement in digital markets, customer preference and choice, financial decisions, online advertising, and creativity. Currently her research involves leveraging language and generative mod