Home / Current Issue / Paper 1708419
The Role of Financial Analytics in Corporate Decision-Making
Subject area: Science,Engineering and Technology · Area of research: Finance
Abstract
In an era defined by data-driven decision-making, financial analytics has become indispensable to corporate strategy, fundamentally reshaping risk assessment, resource allocation, and long-term planning. Organizations achieve unprecedented precision in financial operations by integrating advanced forecasting models, machine learning algorithms, and real-time risk analytics while optimizing strategic outcomes. The rise of predictive analytics has further revolutionized corporate finance, empowering firms to forecast market dynamics, refine investment strategies, and proactively mitigate fiscal exposures. This paper explores the transformative role of financial analytics in strategic corporate decision-making, with a focus on its capacity to enhance operational efficiency and competitive resilience. Drawing on industry case studies?including AI-powered risk mitigation in banking and data-driven M&A strategies in technology?this analysis underscores how financial analytics serves as a critical lever for sustainable profitability and strategic agility in an increasingly complex global marketplace.
Keywords
Financial Analytics, Corporate Finance, Predictive Modeling, Risk Assessment, Machine Learning, Financial Forecasting, Business Intelligence.
How to cite this paper
@article{1708419,
author = {Zainab Folakemi Azeez},
title = {The Role of Financial Analytics in Corporate Decision-Making},
journal = {Iconic Research And Engineering Journals},
year = {2025},
volume = {8},
number = {11},
pages = {812-830},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1708419.pdf},
abstract = {In an era defined by data-driven decision-making, financial analytics has become indispensable to corporate strategy, fundamentally reshaping risk assessment, resource allocation, and long-term planning. Organizations achieve unprecedented precision in financial operations by integrating advanced forecasting models, machine learning algorithms, and real-time risk analytics while optimizing strategic outcomes. The rise of predictive analytics has further revolutionized corporate finance, empowering firms to forecast market dynamics, refine investment strategies, and proactively mitigate fiscal exposures. This paper explores the transformative role of financial analytics in strategic corporate decision-making, with a focus on its capacity to enhance operational efficiency and competitive resilience. Drawing on industry case studies?including AI-powered risk mitigation in banking and data-driven M&A strategies in technology?this analysis underscores how financial analytics serves as a critical lever for sustainable profitability and strategic agility in an increasingly complex global marketplace.},
keywords = {Financial Analytics, Corporate Finance, Predictive Modeling, Risk Assessment, Machine Learning, Financial Forecasting, Business Intelligence.},
month = {May},
}