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Big Data Framework for Analytics Business Intelligence

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Part of the Lecture Notes in Networks and Systems book series (LNNS,volume 551)

Abstract

Business intelligence (BI) systems collect, store, analyze, and present data to help businesses make better decisions. In today’s extremely competitive and difficult industry, it is critical to develop and operate BI systems. Business intelligence (BI) approaches are now widely used in many industries that rely on decision-making. To obtain, evaluate, and anticipate business-critical information, business intelligence (BI) is used. Traditionally, business intelligence seeks to collect, retrieve, and categorize data to handle requests efficiently and effectively. The Internet of things (IoT), the advent of big data, cloud computing, and artificial intelligence (AI) have all increased the importance of business intelligence (BI). Many issues arise in strategic decision-making. The main goal of this research is to get past these problems and build a technical foundation for big data analytics and business intelligence.

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Correspondence to Farhad Khoshbakht .

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Khoshbakht, F., Quadri, S.M.K. (2023). Big Data Framework for Analytics Business Intelligence. In: Saraswat, M., Chowdhury, C., Kumar Mandal, C., Gandomi, A.H. (eds) Proceedings of International Conference on Data Science and Applications. Lecture Notes in Networks and Systems, vol 551. Springer, Singapore. https://doi.org/10.1007/978-981-19-6631-6_5

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