Data Analytics for Business Intelligence
eBook - ePub

Data Analytics for Business Intelligence

A Multi-Industry Approach

  1. 472 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Data Analytics for Business Intelligence

A Multi-Industry Approach

About this book

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.

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Yes, you can access Data Analytics for Business Intelligence by Zhaohao Sun in PDF and/or ePUB format, as well as other popular books in Mathematics & Data Modelling & Design. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover Page
  2. Half Title Page
  3. Title Page
  4. Copyright Page
  5. Dedication
  6. Table of Contents
  7. Acknowledgments
  8. Preface
  9. Chapter 1 Introduction
  10. Chapter 2 Research Methodology
  11. Chapter 3 Data
  12. Chapter 4 Analytics
  13. Chapter 5 Intelligence
  14. Chapter 6 Data Intelligence
  15. Chapter 7 Data Analytics
  16. Chapter 8 Analytics Intelligence
  17. Chapter 9 Data, Analytics, and Intelligence: A Unified Approach
  18. Chapter 10 Business Intelligence
  19. Chapter 11 Conclusion
  20. References
  21. Index