© 2019

Essentials of Business Analytics

An Introduction to the Methodology and its Applications

  • Bhimasankaram Pochiraju
  • Sridhar Seshadri

Part of the International Series in Operations Research & Management Science book series (ISOR, volume 264)

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Sridhar Seshadri
    Pages 1-15
  3. Tools

    1. Front Matter
      Pages 17-17
    2. Sudhir Voleti
      Pages 19-39
    3. Hemanth Kumar Dasararaju, Peeyush Taori
      Pages 41-69
    4. Peeyush Taori, Hemanth Kumar Dasararaju
      Pages 71-109
    5. John F. Tripp
      Pages 111-135
    6. Vishnuprasad Nagadevara
      Pages 137-178
    7. Bhimasankaram Pochiraju, Hema Sri Sai Kollipara
      Pages 179-245
    8. Vishnuprasad Nagadevara
      Pages 247-281
    9. Sudhir Voleti
      Pages 283-301
  4. Modeling Methods

    1. Front Matter
      Pages 303-303
    2. Sumit Kunnumkal
      Pages 305-336
    3. Milind G. Sohoni
      Pages 337-380
    4. Konstantinos I. Nikolopoulos, Dimitrios D. Thomakos
      Pages 381-420
    5. Thriyambakam Krishnan
      Pages 421-438
    6. Thriyambakam Krishnan
      Pages 439-458
    7. Shailesh Kumar
      Pages 459-505
    8. Shailesh Kumar
      Pages 507-568
    9. Manish Gupta
      Pages 569-595

About this book


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.


Business Analtyics Big Data Data Analysis Data Visualization Forecasting Analytics Machine Learning Text Mining

Editors and affiliations

  • Bhimasankaram Pochiraju
    • 1
  • Sridhar Seshadri
    • 2
  1. 1.Applied Statistics and Computing LabIndian School of BusinessHyderabadIndia
  2. 2.Gies College of BusinessUniversity of Illinois at Urbana ChampaignChampaignUSA

About the editors

Bhimasankaram Pochiraju obtained his Ph.D. in Statistics from the Indian Statistical Institute. He was the Clinical Professor of Statistics, Executive Director of Applied Statistics and Computing Lab and Faculty Director, Certificate Programme in Business Analytics at the Indian School of Business. He was formerly Professor of Statistics and Head, SQC & OR Division at the Indian Statistical Institute. He co-authored a text book and a research monograph in Linear Algebra. His areas of research interest include Analytics, Causal Inference and Linear Algebra. 

Sridhar Seshadri obtained his PhD at the University of California, Berkeley after graduating from the Indian Institute of Technology, Madras, India and the Indian Institute of Management, Ahmedabad, India. He is currently Professor and Area Leader of IS, Operations Management and Supply Chain Management areas at the Geis College of Business. He has also been a faculty member at The Indian School of Business, The University of Texas at Austin, New York University and the Administrative Staff College of India. During his teaching career, he was awarded the Stern School of Business Teaching Excellence Award (1998) and recognized as the Stern School of Business Undergraduate Teacher of the Year in 1997. His current research includes Analytics, Pricing and Revenue Optimization and Risk Management in supply chains.


Bibliographic information