Handbook of Business Analytics
Business analytics are widely used in healthcare, manufacturing, and other industries that need to monitor or carefully analyze its users. Every day, over 2.5 quintillion data bytes are collected, for which it is essential to use business analytics. Many new software solutions and platforms have been relied upon to ingest and process large data sets.

The book provides insights into business analytics as a key analytical technique to evaluate risk, project future commercial trends, and determine when upgradation is needed. It will help analysts and researchers in discovering trends and patterns in the data, which uses past information as a source and a variety of analytical algorithms for forecasting future events with a high level of accuracy, is the fundamental aim of business analytics. The chapters are written by academicians, industry experts, and researchers, each focusing on a different facet of business analytics.

The book is meant for managers, executives, and entrepreneurs, who want to use data to improve consumer insights, strategic planning, and operational efficiency. With its theoretical foundations and real-world analytics applications, the book is also a great resource for academicians, scholars, and students studying business administration, data science, and information systems.

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Handbook of Business Analytics
Business analytics are widely used in healthcare, manufacturing, and other industries that need to monitor or carefully analyze its users. Every day, over 2.5 quintillion data bytes are collected, for which it is essential to use business analytics. Many new software solutions and platforms have been relied upon to ingest and process large data sets.

The book provides insights into business analytics as a key analytical technique to evaluate risk, project future commercial trends, and determine when upgradation is needed. It will help analysts and researchers in discovering trends and patterns in the data, which uses past information as a source and a variety of analytical algorithms for forecasting future events with a high level of accuracy, is the fundamental aim of business analytics. The chapters are written by academicians, industry experts, and researchers, each focusing on a different facet of business analytics.

The book is meant for managers, executives, and entrepreneurs, who want to use data to improve consumer insights, strategic planning, and operational efficiency. With its theoretical foundations and real-world analytics applications, the book is also a great resource for academicians, scholars, and students studying business administration, data science, and information systems.

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Handbook of Business Analytics

Handbook of Business Analytics

Handbook of Business Analytics
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Handbook of Business Analytics

Handbook of Business Analytics

Overview

Business analytics are widely used in healthcare, manufacturing, and other industries that need to monitor or carefully analyze its users. Every day, over 2.5 quintillion data bytes are collected, for which it is essential to use business analytics. Many new software solutions and platforms have been relied upon to ingest and process large data sets.

The book provides insights into business analytics as a key analytical technique to evaluate risk, project future commercial trends, and determine when upgradation is needed. It will help analysts and researchers in discovering trends and patterns in the data, which uses past information as a source and a variety of analytical algorithms for forecasting future events with a high level of accuracy, is the fundamental aim of business analytics. The chapters are written by academicians, industry experts, and researchers, each focusing on a different facet of business analytics.

The book is meant for managers, executives, and entrepreneurs, who want to use data to improve consumer insights, strategic planning, and operational efficiency. With its theoretical foundations and real-world analytics applications, the book is also a great resource for academicians, scholars, and students studying business administration, data science, and information systems.

Product Details

ISBN-13: 9781032822723
Publisher: CRC Press
Publication date: 11/19/2025
Pages: 298
Product dimensions: 6.12(w) x 9.19(h) x (d)

About the Author

Ravindra Sharma is an Assistant Professor at the School of Management Studies at Swami Rama Himalayan University, Dehradun, India. He has a PhD in Management from Uttarakhand Technical University, Dehradun, India. He has master's degrees in business administration (MBA) and computer applications (MCA). He has qualified UGC-NET in Management. Dr. Sharma has numerous years of corporate and academic experience. He has published several research papers in referred journals, and books in the area of employer branding, HR 4.0, entrepreneurship, and green innovations for businesses with reputed publishers. His research interests include employer branding, entrepreneurship, data analytics, Industry 4.0, and business innovations.

Geeta Rana is an Associate Professor at the School of Management Studies at Swami Rama Himalayan University, Dehradun, India. She has a PhD from the Indian Institute of Technology (IIT, Roorkee) in Management. She has also done a certification course in HR Analytics from the Indian Institute of Management Rohtak (IIMR). Dr. Rana has more than 20 years of teaching and research experience. She has to her credit over 65 papers published in referred journals. She has authored a book titled Counselling Skills for Managers. Her research interests include Data Analytics, Industry 4.0, Knowledge Management, Managerial Effectiveness, Employer Branding, and Innovation.

Table of Contents

Preface. Foundation Concepts for Business Analytics. Unraveling the Dimensions of HR Analytics and Sustainable HR Analytics: Paving to a New Paradigm. Data Science for FinTech Innovations: Trends, Tools, and Applications. Marketing Analytics to Identify Success and Impact. Harnessing Data for Sustainability: Applications and Challenges in Environmental Analytics. Application of Artificial Intelligence-based Technologies for Evaluating a Healthcare Provider’s Maturity in the Healthcare Worker Onboarding Process. Utilizing Analytic Hierarchy Process (AHP) to Prioritize Factors Impacting Financial Inclusion for Economic Advancement. Digital Transformation in Family-Owned Enterprises: Challenges and Opportunities for Business Analytics Adoption. Role of Business Intelligence and Big Data in Higher Education. Can FoMO enhance continuous intention to use ChatGPT?: mediation of innovative capability of using data analytics. Smart Tourism Supply Chains: Integrating AI, Advanced Analytics, and Robotics for Enhanced Customer Experiences. Emerging Trends and the Future of Business Analytics. Analysis and Forecasting Consumer Price Index of Indian Economy via Predictive Modeling Algorithms. The Meme Revolution: Integrating Cultural Phenomenon and Analytics in Branding Strategy. Ethical and Legal Challenges in Business Analytics and Digital Technologies. Editors Biography

 

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