Advancing Business Intelligence Through Scalable Cloud-Based Analytics

The escalating volume and complexity of organi- zational data necessitate advanced business intelligence (BI) solutions for effective strategic decision-making. This research presents a novel, scalable BI architecture, leveraging cloud com- puting principles, designed to meet the growing demands for real- time analytical insights across diverse enterprise environments. Our developed platform facilitates the parallel processing of vast datasets and accelerates sophisticated data mining operations, which are critical for transforming raw data into actionable intelligence. Through rigorous empirical validation and compre- hensive case studies, this framework consistently demonstrates superior performance in data processing efficiency, analytical throughput, and economic viability. This study provides a robust blueprint for next-generation business intelligence systems, em- powering enterprises to achieve more agile, data-driven strategic planning and competitive advantage.

Publication Details

Journal
International Journal of Environmental Sciences
Published
2025-08-20
DOI
https://doi.org/10.64252/42cwdx04
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
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article

Advancing Business Intelligence Through Scalable Cloud-Based Analytics

International Journal of Environmental Sciences
Geochemistry and Geologic Mapping
article

Advancing Business Intelligence Through Scalable Cloud-Based Analytics

article en

Abstract

The escalating volume and complexity of organi- zational data necessitate advanced business intelligence (BI) solutions for effective strategic decision-making. This research presents a novel, scalable BI architecture, leveraging cloud com- puting principles, designed to meet the growing demands for real- time analytical insights across diverse enterprise environments. Our developed platform facilitates the parallel processing of vast datasets and accelerates sophisticated data mining operations, which are critical for transforming raw data into actionable intelligence. Through rigorous empirical validation and compre- hensive case studies, this framework consistently demonstrates superior performance in data processing efficiency, analytical throughput, and economic viability. This study provides a robust blueprint for next-generation business intelligence systems, em- powering enterprises to achieve more agile, data-driven strategic planning and competitive advantage.

International Journal of Environmental Sciences
Openalex Percentile: Top 30%
Geochemistry and Geologic Mapping
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