Handbook on Business Analytics

1. Auflage 2025
ISBN: 978-1-032-82272-3
Verlag: Taylor & Francis Ltd

Buch, Englisch, 298 Seiten, Format (B × H): 156 mm x 234 mm

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. Topics such as fundamental concepts of business analytics, HR analytics, financial analytics, marketing analytics, environmental analytics, analytics in healthcare, analytic hierarchy processes, analytics in education, analytics in smart tourism supply chain, and ethical and legal challenges in business analytics are covered.

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.

Zielgruppe

Academic and Postgraduate

Autoren/Hrsg.

Nayyar, Anand

Sharma, Ravindra

Rana, Geeta

Fachgebiete

• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Optimierung
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Personalwesen, Human Resource Management
• Wirtschaftswissenschaften Volkswirtschaftslehre Volkswirtschaftslehre Allgemein Wirtschaftsprognose
• Wirtschaftswissenschaften Finanzsektor & Finanzdienstleistungen Finanzsektor & Finanzdienstleistungen: Allgemeines

Inhaltsverzeichnis

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

Über Autor(innen)

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 for the University Grant Commission National Eligibility Test in Management (UGC-NET) in India. Dr Sharma has numerous years of corporate and academic experience. He has conducted many faculty development programs for national and international audiences. He has published research papers in refereed journals, and books in the area of employer branding, HR 4.0, Internet of Things (IoT), artificial intelligence (AI), and green innovations for businesses with reputed publishers. Dr. Sharma has contributed chapters in books from major publishing houses. He has presented research papers at national and international conferences. He has also attended a paper development workshop in the Indian Institute of Management in Rohtak, India. He was honored as a session chair and keynote speaker at international conferences at various universities. His research interests include employer branding, entrepreneurship, Industry 4.0, talent management, 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). She is engaged in teaching, research, and consultancy assignments. She has numerous years of experience in teaching and in handling various administrative as well as academic positions. She has to her credit over 65papers published in refereed journals. She has presented several research papers at national and international conferences and has contributed to several chapters in books published by major publishing houses. She has authored a book titled Counselling Skills for Managers. She has conducted and attended various workshops, FDPs, and MDPs. Dr. Rana is a recipient of many awards. Her research interests include Data Analytics, Human Resource Management 4.0, Knowledge Management, Managerial Effectiveness, Justice, Values, Employer Branding, and Innovation.