
Business Analytics Value Chain
Text and Cases
Routledge India (Publisher)
1st Edition
Published on 26. March 2025
Book
Hardback
510 pages
978-1-032-59811-6 (ISBN)
Description
This book is a comprehensive, step-by-step learning guide towards understanding an entire value chain of Business Analytics, its interrelated components and its role in business decision-making in India and globally. The book has been written with an interdisciplinary approach that triggers strategic as well as routine, thought-provoking ideas to cut across data from several business domains globally.
Business Analytics Value Chain deals with the end-to-end journey from planning the approach to a data enriched decision-problem, to communicating results derived from analytics models to clients. Using current cases from all aspects of a business venture (finance, marketing, human resources, and operations), the book helps the readers to develop the capabilities of evaluating a business case scenario; understand the business problem; identify the data sources and data availability; logically think through problemsolving; use analytics techniques and application software to solve the problem; and be able to interpret the results. Case studies have been carefully designed to represent business scenarios from varied business domains, both local and global, such that they guide the students to making informed fact-based decisions during collaborative planning, analyzing, interpreting, and communicating outcomes for data-enriched problem scenarios.
The book will be useful for students, researchers, and instructors from the fields of Business Management, Data Analytics, Commerce, and Economics. It will also be an indispensable companion to the professional working in the field of data analytics.
Business Analytics Value Chain deals with the end-to-end journey from planning the approach to a data enriched decision-problem, to communicating results derived from analytics models to clients. Using current cases from all aspects of a business venture (finance, marketing, human resources, and operations), the book helps the readers to develop the capabilities of evaluating a business case scenario; understand the business problem; identify the data sources and data availability; logically think through problemsolving; use analytics techniques and application software to solve the problem; and be able to interpret the results. Case studies have been carefully designed to represent business scenarios from varied business domains, both local and global, such that they guide the students to making informed fact-based decisions during collaborative planning, analyzing, interpreting, and communicating outcomes for data-enriched problem scenarios.
The book will be useful for students, researchers, and instructors from the fields of Business Management, Data Analytics, Commerce, and Economics. It will also be an indispensable companion to the professional working in the field of data analytics.
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Postgraduate
Illustrations
380 s/w Abbildungen, 188 s/w Photographien bzw. Rasterbilder, 192 s/w Zeichnungen, 33 s/w Tabellen
33 Tables, black and white; 192 Line drawings, black and white; 188 Halftones, black and white; 380 Illustrations, black and white
Dimensions
Height: 240 mm
Width: 161 mm
Thickness: 32 mm
Weight
936 gr
ISBN-13
978-1-032-59811-6 (9781032598116)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

E-Book
03/2025
CRC Press
€55.49
Available for download

E-Book
03/2025
CRC Press
€55.49
Available for download

Book
03/2025
1st Edition
Routledge India
€65.20
Shipment within 10-20 days
Persons
Tanushri Banerjee teaches at University of Wollongong Australia - India Campus, GIFT city, Gujarat, India.
Arindam Banerjee teaches at Indian Institute of Management, Ahmedabad, Gujarat, India.
Dhaval Maheta teaches at Department of Business and Industrial Management, Surat, Gujarat, India.
Vivek Gupta is affiliated with Softsensor.Ai, New Jersey, USA.
Arindam Banerjee teaches at Indian Institute of Management, Ahmedabad, Gujarat, India.
Dhaval Maheta teaches at Department of Business and Industrial Management, Surat, Gujarat, India.
Vivek Gupta is affiliated with Softsensor.Ai, New Jersey, USA.
Author
Pandit Deendayal Energy University (PDEU), Gujarat, India
Indian Institute of Management, India
Department of Business and Industrial Management, India
Softsensor.Ai, New Jersey, USA
Content
SECTION I: PLANNING 1. Introduction to Business Analytics. 2. Data Analytics for Business. 3. Data Exploration in Business Analytics. 4. Mapping Chart for Analytics Outcome. 5. Technology Infrastructure for Business Analytics. SECTION II: PROCESSING 6. Inferential Statistics: Preparing to be a Data Scientist. 7. Analytical Methods for Parametric and Non-Parametric Data 8. Analytical Methods for Complex Data.9. Data Mining/ Machine Learning for Business Analytics. SECTION III: COMMUNICATING 10. Interpreting the Statistical Outcomes. 11. Documenting the Process. 12. Building the Storyboard of Outcomes. APPENDIX Appendix A: Case - Trasha Beverages Goes the Business Analytics Way Appendix B: Business Case - Using Analytics for Business Problem-solving Appendix C: Online Grocery Case Appendix D: Tips on Using Software Used in This Book.