2022Advances in business information systems and analytics book seriesRequires access

The Elements of Intelligent Business Analytics

Zhaohao Sun, Francisca Pambel, Zhiyou Wu

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Abstract

This chapter explores the elements of intelligent business analytics and addresses the following research questions: What are the elements, principles, technologies, and tools of intelligent business analytics? How can one incorporate the latest intelligent technologies into business analytics? This research highlights that big data and big DIKIW are the elements for intelligent business analytics; big data analytics and intelligent big data analytics and big DIKIW and intelligent big DIKIW analytics are the foundation of intelligent business analytics; the principles, technologies, and tools of intelligent business analytics are emerging strategic sources for organizations and individuals in the competitive global environment. This chapter presents a framework for DIKIW-driven intelligent business analytics through incorporating DIKIW analytics into intelligent business analytics. The proposed approach might facilitate research and development of intelligent business, big data analytics, business intelligence, AI, and data science.

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What this paper is about

This chapter explores the elements of intelligent business analytics and addresses the following research questions: What are the elements, principles, technologies, and tools of intelligent business analytics? How can one incorporate the latest intelligent technologies into business analytics? This research highlights that big data and big DIKIW are the elements for intelligent business analytics; big data analytics and intelligent big data analytics and big DIKIW and intelligent big DIKIW analytics are the foundation of intelligent business analytics; the principles, technologies, and tools of intelligent business analytics are emerging strategic sources for organizations and individuals in the competitive global environment. This chapter presents a framework for DIKIW-driven intelligent business analytics through incorporating DIKIW analytics into intelligent business analytics. The proposed approach might facilitate research and development of intelligent business, big data analytics, business intelligence, AI, and data science.

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Available abstract

This chapter explores the elements of intelligent business analytics and addresses the following research questions: What are the elements, principles, technologies, and tools of intelligent business analytics? How can one incorporate the latest intelligent technologies into business analytics? This research highlights that big data and big DIKIW are the elements for intelligent business analytics; big data analytics and intelligent big data analytics and big DIKIW and intelligent big DIKIW analytics are the foundation of intelligent business analytics; the principles, technologies, and tools of intelligent business analytics are emerging strategic sources for organizations and individuals in the competitive global environment. This chapter presents a framework for DIKIW-driven intelligent business analytics through incorporating DIKIW analytics into intelligent business analytics. The proposed approach might facilitate research and development of intelligent business, big data analytics, business intelligence, AI, and data science.

Key concepts: Business analytics, Big data, Business intelligence, Analytics, Software analytics, Data science, Computer science, Semantic analytics

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