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Full Description
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.
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
