Exploring business intelligence in the time of big data: Methods, software, and implementations

Access to Big Data has drastically improved the way companies collect and utilize information in the course of the strategic decision-making process within this dynamic business environment. This paper examines the role of Business Intelligence in generating vast amounts of data by focusing on technologies, software, and programs within IT companies. It aims to assess the level of familiarity and interest in BI among employees, identify challenges that hinder effective BI implementation, monitor the reputation of AI technologies, and evaluate the impact of AI on overall operational performance. This research employs both qualitative and quantitative techniques to provide comprehensive insights into the intersection of enterprise intelligence and large-scale data, highlighting the anticipated benefits and potential challenges at this junction. The findings emphasize the critical role of business intelligence in enhancing decision-making, profitability, and operational performance in a digital world.

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Publication Details

Journal
International Journal of Innovative Research and Scientific Studies
Published
2025-08-11
DOI
https://doi.org/10.53894/ijirss.v8i5.9231
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
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article

Exploring business intelligence in the time of big data: Methods, software, and implementations

Abdel Rahman Alkhazali, Mohammadnour Aljarrah
International Journal of Innovative Research and Scientific Studies
Big Data and Business Intelligence
article

Exploring business intelligence in the time of big data: Methods, software, and implementations

Abdel Rahman Alkhazali, Mohammadnour Aljarrah
article en

Abstract

Access to Big Data has drastically improved the way companies collect and utilize information in the course of the strategic decision-making process within this dynamic business environment. This paper examines the role of Business Intelligence in generating vast amounts of data by focusing on technologies, software, and programs within IT companies. It aims to assess the level of familiarity and interest in BI among employees, identify challenges that hinder effective BI implementation, monitor the reputation of AI technologies, and evaluate the impact of AI on overall operational performance. This research employs both qualitative and quantitative techniques to provide comprehensive insights into the intersection of enterprise intelligence and large-scale data, highlighting the anticipated benefits and potential challenges at this junction. The findings emphasize the critical role of business intelligence in enhancing decision-making, profitability, and operational performance in a digital world.

International Journal of Innovative Research and Scientific StudiesVol. 8(5)
Irbid National University (JO)
Openalex Percentile: Top 64%
Big Data and Business Intelligence
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Exploring business intelligence in the time of big data: Methods, software, and implementations — Abdel Rahman Alkhazali, Mohammadnour Aljarrah · International Journal of Innovative Research and Scientific Studies (2025) | TGRS Research Map | TGRS