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Examines trends in business intelligence and data analytics, highlighting ethical and implementation considerations in technology-driven environments.
In the current digital age, business intelligence (BI) and data analysis are rapidly evolving, but the driving force is in the progress of technology and exponential increase in data. In this paper, we consider a new trend, theoretical basis, implementation strategy, and the future direction of BI and data analysis. In this paper, we consider what innovative roles in artificial intelligence (AI), the Internet (IOT), and block chain technology reconstruct data analysis practices. In addition, this paper investigates ethical considerations and privacy issues related to data driven decisions, emphasizing the importance of responsible data management practices. In this paper, we introduce the strategy of implementing data analysis in business processes, overcoming challenges, and successful case studies. Finally, we emphasize the new trend and emphasize the essence of BI that will continue to evolve through advanced analysis.
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Zetao Li (2024) studied this question.
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