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Data Analytics for Business Intelligence
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Data Analytics for Business Intelligence : A Multi-Industry Approach

Book Details

Format Paperback / Softback
ISBN-10 1032585323
ISBN-13 9781032585321
Publisher Taylor & Francis Ltd
Imprint Chapman & Hall/CRC
Country of Manufacture GB
Country of Publication GB
Publication Date Dec 30th, 2024
Print length 437 Pages
Weight 708 grams
Dimensions 23.50 x 15.80 x 2.90 cms
Ksh 10,650.00
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This book studies data, analytics, and intelligence using Boolean structure. Chapters dive into the theories, foundations, technologies, and methods of data, analytics and intelligence. A useful resource with multi-industry applications for scientists, engineers, data analysts, educators and university students.

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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