Journal of Advances in Developmental Research

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Building Smart BI Systems: Incorporating AI for Advanced Data Analytics

Author(s) Ghouse Baba Shaik
Country United States
Abstract Using Artificial Intelligence (AI) in Business Intelligence (BI) tools has changed how companies analyze data, helping them make better and smarter choices. This piece looks at how AI is changing business intelligence, especially in areas like data handling, predicting trends, and making decisions. We can see how AI improves BI tools by looking at their past, from older systems like SAP BusinessObjects and IBM Cognos to today’s platforms like Tableau, Power BI, and Looker. The study looks at the challenges and issues related to using AI-based business intelligence systems. These include the need for skilled workers, the difficulty of combining different systems, and the importance of having good quality data. We offer a detailed review of existing research and examples to explain the real advantages of using AI in business intelligence systems. These benefits include a more flexible way to make decisions, better speed in operations, and more accurate predictions.
Keywords Artificial Intelligence, Business Intelligence, Data Analytics, Predictive Analytics, Decision-Making, Data Processing, SAP BusinessObjects, IBM Cognos, Tableau, Power BI, Looker, ThoughtSpot, Yellowfin, SSRS, OBIEE, Snowflake, Denodo, Oracle, SQL Server, Data Integration, Data Quality, Machine Learning, Advanced Analytics, Data Visualization, Business Decision Support, AI Integration, BI Transformation, Data-Driven Decision-Making, AI-Enhanced BI Systems
Field Engineering
Published In Volume 15, Issue 2, July-December 2024
Published On 2024-11-06
Cite This Building Smart BI Systems: Incorporating AI for Advanced Data Analytics - Ghouse Baba Shaik - IJAIDR Volume 15, Issue 2, July-December 2024. DOI 10.5281/zenodo.14851338
DOI https://doi.org/10.5281/zenodo.14851338
Short DOI https://doi.org/g84qk8
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