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Essentials of Business Analytics

An Introduction to the Methodology and its Applications

  • Bhimasankaram Pochiraju
  • Sridhar Seshadri
Textbook

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
  5. Applications

    1. Front Matter
      Pages 597-597
    2. Ramandeep S. Randhawa
      Pages 599-621
    3. S. Arunachalam, Amalesh Sharma
      Pages 623-658
    4. Krishnamurthy Vaidyanathan
      Pages 659-718
    5. Vishnuprasad Nagadevara
      Pages 719-763
    6. Maqbool (Mac) Dada, Chester Chambers
      Pages 765-791
    7. Kalyan Talluri, Sridhar Seshadri
      Pages 793-821
    8. Yao Zhao
      Pages 823-846
    9. Deepak Agrawal, Soumithri Mamidipudi
      Pages 847-862
    10. Deepak Agrawal, Hema Sri Sai Kollipara, Soumithri Mamidipudi
      Pages 863-871
    11. Deepak Agrawal, Soumithri Mamidipudi, Sriram Padmanabhan
      Pages 873-887
    12. Peeyush Taori, Hemanth Kumar Dasararaju
      Pages 889-915
    13. Peeyush Taori, Hemanth Kumar Dasararaju
      Pages 917-944
    14. Peeyush Taori, Soumithri Mamidipudi, Deepak Agrawal
      Pages 945-963
  6. Back Matter
    Pages 965-980

About this book

Introduction

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.

Keywords

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

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-68837-4
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Business and Management
  • Print ISBN 978-3-319-68836-7
  • Online ISBN 978-3-319-68837-4
  • Series Print ISSN 0884-8289
  • Series Online ISSN 2214-7934
  • Buy this book on publisher's site