Essentials of Business Analytics : An Introduction to the Methodology and its Applications / edited by Bhimasankaram Pochiraju, Sridhar Seshadri.
Pochiraju, Bhimasankaram, editor; Seshadri, Sridhar, editor.
2019
HF1017
Available Online

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Title Essentials of Business Analytics : An Introduction to the Methodology and its Applications / edited by Bhimasankaram Pochiraju, Sridhar Seshadri.
ISBN 9783319688374 (electronic book)
3319688375 (electronic book)
Published Cham : Springer, 2019.
Language English
Description 1 online resource (xvi, 980 pages) : illustrations.
Other Standard Identifiers 10.1007/978-3-319-68
Call Number HF1017
Dewey Decimal Classification 658.40301
Summary This comprehensive edited volume is the first of its kind, designed to serve as a textbook for long-duration business analytics programs. It can also be used as a guide to the field by practitioners. The book has contributions from experts in top universities and industry. The editors have taken extreme care to ensure continuity across the chapters. The material is organized into three parts: A) Tools, B) Models and C) Applications. In Part A, the tools used by business analysts are described in detail. In Part B, these tools are applied to construct models used to solve business problems. Part C contains detailed applications in various functional areas of business and several case studies. Supporting material can be found in the appendices that develop the pre-requisites for the main text. Every chapter has a business orientation. Typically, each chapter begins with the description of business problems that are transformed into data questions; and methodology is developed to solve these questions. Data analysis is conducted using widely used software, the output and results are clearly explained at each stage of development. These are finally transformed into a business solution. The companion website provides examples, data sets and sample code for each chapter.
Access Note Access limited to authorized users.
Added Author Pochiraju, Bhimasankaram, editor
Seshadri, Sridhar, editor.
Series International series in operations research & management science ; v. 264.
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Chapter 1. Introduction
Chapter 2. Data Collection
Chapter 3. Data Management - Relational Database Systems (RDBMS)
Chapter 4. Big Data Management
Chapter 5. Data Visualization
Chapter 6. Statistical Methods-Basic inferences
Chapter 7. Statistical Methods-Regression
Chapter 8. Advanced Regression Analysis
Chapter 9. Text Analytics
Chapter 10. Simulation
Chapter 11. Introduction to Optimization
Chapter 12. Forecasting Analytics
Chapter 13. Count Data Regression
Chapter 14. Survival Analysis
Chapter 15. Machine Learning (Unsupervised)
Chapter 16. Machine Learning (Supervised)
Chapter 17. Deep Learning
Chapter 18. Retail Analytics
Chapter 19. Marketing Analytics
Chapter 20. Financial Analytics
Chapter 21. Social Media and Web Analytics
Chapter 22. Healthcare Analytics
Chapter 23. Pricing Analytics
Chapter 24. Supply Chain Analytics
Chapter 25. Case study: Ideal Insurance
Chapter 26. Case study: AAA Airline
Chapter 27. Case study: Informedia Solutions
Chapter 28. Appendix 1: Introduction to R
Chapter 29. Appendix 2: Introduction to Python
Chapter 30. Appendix 3: Probability and Statistics.

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