
Business Analytics and Decision Making in Practice (eBook, PDF)
Proceedings of the International Conference on Business Analytics in Practice (ICBAP 2024), Sharjah, UAE
Redaktion: Emrouznejad, Ali; Rice, John; Jamali, Dima; Ozturk, Ilhan; Zervopoulos, Panagiotis D.
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This book presents selected proceedings of the International Conference on Business Analytics in Practice (ICBAP2024), which was held on January 8-11, 2024, at the University of Sharjah, UAE.¿The book presents advanced modeling and examples to explore the practical applications of business analytics across various industries and domains. In addition, it dives deep into the world of data-driven decision-making, showcasing real-world case studies and best practices to illustrate how organizations can harness the power of analytics to optimize their decision-making processes. From descriptive an...
This book presents selected proceedings of the International Conference on Business Analytics in Practice (ICBAP2024), which was held on January 8-11, 2024, at the University of Sharjah, UAE.
¿The book presents advanced modeling and examples to explore the practical applications of business analytics across various industries and domains. In addition, it dives deep into the world of data-driven decision-making, showcasing real-world case studies and best practices to illustrate how organizations can harness the power of analytics to optimize their decision-making processes. From descriptive analytics to predictive modeling and prescriptive analytics, readers will gain valuable insights into the different techniques and methodologies employed in business analytics.
¿The book presents advanced modeling and examples to explore the practical applications of business analytics across various industries and domains. In addition, it dives deep into the world of data-driven decision-making, showcasing real-world case studies and best practices to illustrate how organizations can harness the power of analytics to optimize their decision-making processes. From descriptive analytics to predictive modeling and prescriptive analytics, readers will gain valuable insights into the different techniques and methodologies employed in business analytics.
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