© 2019

Advances in Analytics and Applications

  • Arnab Kumar Laha
  • Discusses innovative applications of analytics in business and introduces new emerging areas of research in data analysis

  • Provides overviews on topics of current interest—machine learning, regression analysis, directional data analysis and branching processes

  • Includes academic research papers that avoid complicated mathematical details and explain the concepts in a lucid manner


Part of the Springer Proceedings in Business and Economics book series (SPBE)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Brief Overviews

    1. Front Matter
      Pages 1-1
    2. Sayan Putatunda
      Pages 3-11
    3. Arnab Kumar Laha
      Pages 13-19
    4. K. C. Mahesh
      Pages 21-30
    5. Sumit Kumar Yadav
      Pages 31-41
  3. Predictive Analytics Applications

  4. Machine Learning Applications

    1. Front Matter
      Pages 117-117
    2. Manoj Raju, Arun Aswath, Amrit Kadam, Venkatesh Pagidimarri
      Pages 119-129
  5. Human Resource Analytics

    1. Front Matter
      Pages 139-139
    2. Girish Keshav Palshikar, Rajiv Srivastava, Sachin Pawar, Swapnil Hingmire, Ankita Jain, Saheb Chourasia et al.
      Pages 141-160
  6. Operations Analytics

    1. Front Matter
      Pages 175-175

About this book


This book includes selected papers submitted to the ICADABAI-2017 conference, offering an overview of the new methodologies and presenting innovative applications that are of interest to both academicians and practitioners working in the area of analytics. It discusses predictive analytics applications, machine learning applications, human resource analytics, operations analytics, analytics in finance, methodology and econometric applications. The papers in the predictive analytics applications section discuss web analytics, email marketing, customer churn prediction, retail analytics and sports analytics. The section on machine learning applications then examines healthcare analytics, insurance analytics and machine analytics using different innovative machine learning techniques. Human resource analytics addresses important issues relating to talent acquisition and employability using analytics, while a paper in the section on operations analytics describe an innovative application in oil and gas industry. The papers in the analytics in finance part discuss the use of analytical tools in banking and commodity markets, and lastly the econometric applications part presents interesting banking and insurance applications.


Business Analytics Big Data Stream Data Machine Learning Business Intelligence

Editors and affiliations

  • Arnab Kumar Laha
    • 1
  1. 1.Indian Institute of Management AhmedabadAhmedabadIndia

About the editors

Prof. Arnab K Laha takes keen interest in understanding how analytics, machine learning and artificial intelligence can be leveraged to solve complex problems of business and society.  His areas of research and teaching interest include Advanced Data Analytics, Quality Management and Risk Modeling.  He has published papers in national and international journals of repute in these areas and has served on the editorial board of several journals including Statistical Analysis and Data Mining: The ASA Data Science Journal. He was featured among India’s best business school professors by Business Today in 2006 and Business India in 2012 and was named as one of the “10 Most Prominent Analytics Academicians in India” by Analytics India Magazine in 2014 and 2017. He is the convener of the biennial IIMA series of conferences on Advanced Data Analysis, Business Analytics and Intelligence. He is the author of the popular book on analytics entitled "How to Make the Right Decision" published by Penguin-Random House.  He has conducted large number of training programmes and undertaken consultancy work in the fields of business analytics, quality management and risk management.

Bibliographic information

  • Book Title Advances in Analytics and Applications
  • Editors Arnab Kumar Laha
  • Series Title Springer Proceedings in Business and Economics
  • Series Abbreviated Title Springer Proceed. Business, Economics
  • DOI
  • Copyright Information Springer Nature Singapore Pte Ltd. 2019
  • Publisher Name Springer, Singapore
  • eBook Packages Business and Management Business and Management (R0)
  • Hardcover ISBN 978-981-13-1207-6
  • Softcover ISBN 978-981-13-4584-5
  • eBook ISBN 978-981-13-1208-3
  • Series ISSN 2198-7246
  • Series E-ISSN 2198-7254
  • Edition Number 1
  • Number of Pages XI, 297
  • Number of Illustrations 64 b/w illustrations, 0 illustrations in colour
  • Topics Big Data/Analytics
    Business Finance
  • Buy this book on publisher's site
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