Department of Cyber Security (MSc), Daffodil International University (DIU); Department of Data Science, United International University (UIU); University of the Cumberlands, Department of Computer and Information Sciences, Williamsburg, Kentucky, USA
Abstract
Rising regulatory pressure and investor demand for transparent sustainability reporting have pushed organizations to integrate environmental performance data into core business decision-making. This demonstration study examines how business intelligence (BI) dashboards that combine carbon-emission tracking, resource-efficiency metrics, and financial indicators influence strategic decision quality across 48 mid-sized manufacturing firms over a 24-month period. Using a mixed-methods approach that pairs quarterly performance data with structured management surveys, the analysis shows that firms adopting integrated environmental-financial dashboards achieved a 17% faster response time to compliance risks and a measurable improvement in resource-allocation efficiency compared to firms using siloed reporting systems. The findings suggest that embedding environmental indicators directly within existing BI infrastructure, rather than maintaining separate sustainability reports, produces more actionable and timely decisions.
Keywords
Enterprise Risk Management (ERM) Structural Anisotropy Machine Learning Non- Destructive Testing (NDT) Infrastructure Governance Business Intelligence
Article Information
- Published
- August 28, 2026
- Journal
- Journal of Business Intelligence & Decision Science Review
- Volume / Issue
- 1 / 1
- Article No.
- JBIDSR-2021001
- Year
- 2021