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VOL. 13, ISSUE 1 (2026)
The role of business intelligence systems in enhancing financial decision-making: An empirical study
Authors
Krishna B Tathe
Abstract
This study empirically examines the relationship between the deployment
of Business Intelligence (BI) systems and qualitative improvements in financial
decision-making frameworks. Although digital finance adoption is well
documented, limited empirical evidence explains how specific BI
functionalities—such as real-time data warehousing and predictive
analytics—directly enhance fiscal accuracy and risk mitigation, particularly in
emerging market contexts. Using a cross-sectional quantitative research design,
data were collected from 215 finance professionals and departmental heads
across multiple corporate sectors. Descriptive statistics and multiple
regression analysis were employed to assess the impact of BI adoption on
data-driven accuracy, decision latency, and strategic forecasting capability.
The findings demonstrate a statistically significant relationship between BI
maturity and organizational financial agility. Automated reporting mechanisms
were found to reduce manual processing errors by approximately 35%, while
improving the reliability of long-term budget forecasts. Furthermore, data
accessibility emerged as a key mediating variable linking BI implementation
with effective managerial decision-making. The study concludes that BI systems
function not merely as technological enhancements but as strategic assets that
reduce cognitive bias in financial planning. The findings offer actionable
insights for CFOs and IT managers regarding phased analytics adoption to
achieve superior financial performance.
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Pages:72-76
How to cite this article:
Krishna B Tathe "The role of business intelligence systems in enhancing financial decision-making: An empirical study". International Journal of Multidisciplinary Research and Development, Vol 13, Issue 1, 2026, Pages 72-76
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