Pathoori, Mahesh Reddy (2025) Business intelligence for societal equity: Democratizing data for fair workplaces. Global Journal of Engineering and Technology Advances, 23 (3). pp. 232-241. ISSN 2582-5003
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Abstract
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.
Item Type: | Article |
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Official URL: | https://doi.org/10.30574/gjeta.2025.23.3.0194 |
Uncontrolled Keywords: | Equity-focused business intelligence; Workplace fairness analytics; Automated equity monitoring; Organizational transparency; Data-driven equity management |
Depositing User: | Editor Engineering Section |
Date Deposited: | 22 Aug 2025 09:14 |
Related URLs: | |
URI: | https://eprint.scholarsrepository.com/id/eprint/5681 |