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Navigating business intelligence and data analytics: Trends, foundations, strategies, and future directions
- 1 Monsh University, Melbourne, Australia
* Author to whom correspondence should be addressed.
Abstract
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.
Keywords
Business Intelligence, Data Analytics, Artificial Intelligence, Internet of Things, Blockchain
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Cite this article
Li,Z. (2024). Navigating business intelligence and data analytics: Trends, foundations, strategies, and future directions. Applied and Computational Engineering,76,288-293.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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Volume title: Proceedings of the 2nd International Conference on Software Engineering and Machine Learning
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