Data Analytics for Business Intelligence: A Multi-Industry Approach

This book studies data, analytics, and intelligence using Boolean structure. Chapters dive into the theories, foundations, technologies, and methods of data, analytics, and intelligence.

The primary aim of this book is to convey the theories and technologies of data, analytics, and intelligence with applications to readers based on systematic generalization and specialization. Sun uses the Boolean structure to deconstruct all books and papers related to data, analytics, and intelligence and to reorganize them to reshape the world of big data, data analytics, analytics intelligence, data science, and artificial intelligence. Multi-industry applications in business, management, and decision-making are provided. Cutting-edge theories, technologies, and applications of data, analytics, and intelligence and their integration are also explored. Overall, this book provides original insights on sharing computing, insight computing, platform computing, a calculus of intelligent analytics and intelligent business analytics, meta computing, data analyticizing, DDPP (descriptive, diagnostic, predictive, and prescriptive) computing, and analytics.

This book is a useful resource with multi-industry applications for scientists, engineers, data analysts, educators, and university students.

Zhaohao Sun is professor of Information Technology at Papua New Guinea University of Technology. He held the academic positions in China, Germany; and Australia. He is author of twelve books and numerous academic publications. His current interests include big data, AI, and BI. He is a senior member of the Institute of Electrical and Electronic Engineers and the Australian Computer Society.