Strategic Forecasting: AI-Powered BI Techniques

To understand how artificial intelligence can improve business intelligence, this research paper aims to establish how the two concepts can be combined for better BI strategic forecasting.Thus, the findings of this study, which covers the analysis of numerous AIdriven BI methods and their use across different industries, can help understand the potential of such tools to enhance decision-making and outcomes for organizations.Primary data is gathered from reports, periodicals, and case studies, while secondary data involves statistical analysis of technologies' influence.The present research results reveal that organizations handling artificial intelligence in BI show a marked increase in accuracy and efficiency and reduced costs.However, critical issues like data quality, implementation costs, and lack of adequate skills must be overcome for the plan to work.

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Publication Details

Journal
International Journal of Science and Research (IJSR)
Published
2024-08-05
DOI
https://doi.org/10.21275/sr24803092145
Citations
8
Primary Topic
Stock Market Forecasting Methods
Type
article
Field-Weighted Citation Impact
3.92
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article

Strategic Forecasting: AI-Powered BI Techniques

Suman Chintala
8 citations
International Journal of Science and Research (IJSR)
Stock Market Forecasting Methods
3.92
article

Strategic Forecasting: AI-Powered BI Techniques

Suman Chintala
article en
8 citations

Abstract

To understand how artificial intelligence can improve business intelligence, this research paper aims to establish how the two concepts can be combined for better BI strategic forecasting.Thus, the findings of this study, which covers the analysis of numerous AIdriven BI methods and their use across different industries, can help understand the potential of such tools to enhance decision-making and outcomes for organizations.Primary data is gathered from reports, periodicals, and case studies, while secondary data involves statistical analysis of technologies' influence.The present research results reveal that organizations handling artificial intelligence in BI show a marked increase in accuracy and efficiency and reduced costs.However, critical issues like data quality, implementation costs, and lack of adequate skills must be overcome for the plan to work.

International Journal of Science and Research (IJSR)Vol. 13(8)
Mechanics' Institute (US)
Climate action
Openalex Percentile: Top 6%
Stock Market Forecasting Methods
3.92
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