Building Smart BI Systems: Incorporating AI for Advanced Data Analytics

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.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-11-06
DOI
https://doi.org/10.5281/zenodo.14851338
Primary Topic
Protist diversity and phylogeny
Type
article
Field-Weighted Citation Impact
0.00
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article

Building Smart BI Systems: Incorporating AI for Advanced Data Analytics

Zenodo (CERN European Organization for Nuclear Research)
Protist diversity and phylogeny
article

Building Smart BI Systems: Incorporating AI for Advanced Data Analytics

article en

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.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 58%
Protist diversity and phylogeny
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