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International Peer reviewed Engineering Journal || Crossref DOI || Impact Factor 8.6 || ISSN: 2582-5003

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Research & review articles are invited for publication in September 2026 (Vol. 28, Issue 3) || Submission: up to 28th September || Editorial decision: within 48 hrs.

Business intelligence for societal equity: Democratizing data for fair workplaces

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  • Business intelligence for societal equity: Democratizing data for fair workplaces

Mahesh Reddy Pathoori *

Oklahoma Christian University, USA.
 
Research Article
Global Journal of Engineering and Technology Advances, 2025, 23(03), 232-241.
Article DOI: 10.30574/gjeta.2025.23.3.0194
DOI url: https://doi.org/10.30574/gjeta.2025.23.3.0194
Received on 03 May 2025; revised on 01 June 2025; accepted on 04 June 2025
 
Business Intelligence has emerged as a transformative force in advancing workplace equity and organizational transparency. The integration of sophisticated BI solutions enables organizations to identify, measure, and address workplace disparities through data-driven decision-making processes. Modern BI platforms incorporate advanced algorithms and analytical frameworks designed to detect subtle patterns of bias across various organizational dimensions. The implementation of automated fairness analytics and dynamic equity scoring mechanisms has revolutionized how organizations monitor and improve workplace equity. Through multi-source data integration and real-time monitoring capabilities, organizations can effectively track key equity indicators, including hiring patterns, promotion rates, compensation distributions, and employee retention across different demographic groups. The emergence of AI-driven recommendations and predictive analytics has further enhanced organizations' ability to proactively address potential equity issues while fostering inclusive workplace cultures. The integration of external benchmarking capabilities enables organizations to maintain competitive advantage while ensuring adherence to industry-leading equity practices.
 
Equity-focused business intelligence; Workplace fairness analytics; Automated equity monitoring; Organizational transparency; Data-driven equity management
 
https://gjeta.com/sites/default/files/fulltext_pdf/GJETA-2025-0194.pdf

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Mahesh Reddy Pathoori. Business intelligence for societal equity: Democratizing data for fair workplaces. Global Journal of Engineering and Technology Advances, 2025, 23(3), 232-241. Article DOI: https://doi.org/10.30574/gjeta.2025.23.3.0194

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