Business Analytics Value Chain

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A01=Arindam Banerjee
A01=Dhaval Maheta
A01=Tanushri Banerjee
A01=Vivek Gupta
analytics for organisational strategy
Author_Arindam Banerjee
Author_Dhaval Maheta
Author_Tanushri Banerjee
Author_Vivek Gupta
Business Analytics
Business Analytics Value Chain
business case analysis
Category=GTM
Category=KCH
Category=KCJ
Category=KJC
Category=KJSM
Category=PBT
Category=UN
Category=UNC
Category=UY
data mining techniques
data-driven decision making
eq_bestseller
eq_business-finance-law
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
inferential statistics
interdisciplinary analytics
machine learning applications

Product details

  • ISBN 9781032612041
  • Weight: 800g
  • Dimensions: 156 x 234mm
  • Publication Date: 26 Mar 2025
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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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.

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.

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