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Modern Business Intelligence: Big Data Analytics and Artificial Intelligence for Creating the Data-Driven Value

In: E-Business - Higher Education and Intelligence Applications

Author

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  • Ahmed A.A. Gad-Elrab

Abstract

Currently, business intelligence (BI) systems are used extensively in many business areas that are based on making decisions to create a value. BI is the process on available data to extract, analyze and predict business-critical insights. Traditional BI focuses on collecting, extracting, and organizing data for enabling efficient and professional query processing to get insights from historical data. Due to the existing of big data, Internet of Things (IoT), artificial intelligence (AI), and cloud computing (CC), BI became more critical and important process and received more great interest in both industry and academia fields. The main problem is how to use these new technologies for creating data-driven value for modern BI. In this chapter, to meet this problem, the importance of big data analytics, data mining, AI for building and enhancing modern BI will be introduced and discussed. In addition, challenges and opportunities for creating value of data by establishing modern BI processes.

Suggested Citation

  • Ahmed A.A. Gad-Elrab, 2021. "Modern Business Intelligence: Big Data Analytics and Artificial Intelligence for Creating the Data-Driven Value," Chapters, in: Robert M.X. Wu & Marinela Mircea (ed.), E-Business - Higher Education and Intelligence Applications, IntechOpen.
    • Handle: RePEc:ito:pchaps:212245
    DOI: 10.5772/intechopen.97374
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    More about this item

    Keywords

    Business Intelligence; Big Data Analytics; Artificial Intelligence; IoT; Data mining; Data governance;
    All these keywords.

    JEL classification:

    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management

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