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eBook - ePub
About this book
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.
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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.
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Yes, you can access Business Analytics by Arul Mishra,Himanshu Mishra in PDF and/or ePUB format, as well as other popular books in Business & Decision Making. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover
- Half Title
- Acknowledgements
- Title Page
- Copyright Page
- Brief Contents
- Detailed Contents
- Preface
- Acknowledgments
- About the Authors
- Getting Started with R and RStudio
- Part I Business Environment Analytics
- 1 The External Environment of a Business
- 2 Monitoring the Macroeconomic Environment
- 3 Monitoring the Competitive Environment Using Principal Component Analysis
- 4 Monitoring the Social Environment Using Text Analysis
- Part II Marketing Analytics
- 5 Market Segmentation Using Clustering Algorithms
- 6 Predicting Prices With Neural Nets
- 7 Advertising and Branding With A/B Testing
- 8 Using Neural Nets for Customer Analytics
- Part III Financial and Accounting Analytics
- 9 Loan Charge-Off Prediction Using an Explainable Model
- 10 Forecasting the Financial Health of a Business Using Penalized Regression
- 11 Forensic Accounting Using Outlier Detection Algorithms
- Part IV Operations and Supply Chain Analytics
- 12 Managing Decision Uncertainty Using Random Forests
- 13 Predicting Employee Satisfaction Using Boosted Decision Trees
- 14 New Product Development With A/B Testing
- Part V Business Ethics and Analytics
- 15 Fairness in Business Analytics
- Technical Appendix
- Index