Data Analytics for Business Intelligence

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.

"Artificial intelligence and big data analytics are moving targets because new research is published daily ? the benefit of this book is it will remain valid because it covers the philosophy, the Boolean logic of why decision-makers should use software in strategic planning."

Kenneth David Strang, Business School Professor, University of the Cumberlands, Program Director, W3-Research, USA

"Professor Sun masterfully brings together theory and practice related to artificial intelligence, reasoning, business analytics and information systems into a coherent whole. This provides a refreshing holistic perspective in a most accessible form and will be of interest to academics, students and business leaders."

Andrew Stranieri, Associate Professor, Federation University Australia, Australia

"I have known Professor Zhaohao Sun for over 15 years and watched with great admiration his very considerable research output and deep insights in a variety of areas including data analytics, decision-making, and artificial intelligence. His writing style is enjoyable to read and I strongly endorse this book."

Sidney A. Morris, Adjunct Professor, La Trobe University, Australia