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Financial Tools and Automation in Decision-Making: A Case Study on Genpact
Subject area: Management and Commerce · Area of research: Finance
Abstract
This research paper investigates the strategic role of financial tools and automation in improving decision-making within Genpact, a global leader in business process management. Employing a mixed-method research design, including semi-structured interviews and secondary data analysis, the study evaluates how Enterprise Resource Planning (ERP) systems, Robotic Process Automation (RPA), Artificial Intelligence (AI), and Business Intelligence (BI) dashboards enhance financial efficiency and accuracy. Results reveal that automation leads to a 30% reduction in manual errors and a 25% improvement in forecast accuracy. Key challenges such as integration with legacy systems and cybersecurity concerns are addressed, and the paper concludes with actionable recommendations for organizations pursuing similar digital transformation.
How to cite this paper
@article{1709141,
author = {Vaibhav Srivastava},
title = {Financial Tools and Automation in Decision-Making: A Case Study on Genpact},
journal = {Iconic Research And Engineering Journals},
year = {2025},
volume = {8},
number = {12},
pages = {450-452},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1709141.pdf},
abstract = {This research paper investigates the strategic role of financial tools and automation in improving decision-making within Genpact, a global leader in business process management. Employing a mixed-method research design, including semi-structured interviews and secondary data analysis, the study evaluates how Enterprise Resource Planning (ERP) systems, Robotic Process Automation (RPA), Artificial Intelligence (AI), and Business Intelligence (BI) dashboards enhance financial efficiency and accuracy. Results reveal that automation leads to a 30% reduction in manual errors and a 25% improvement in forecast accuracy. Key challenges such as integration with legacy systems and cybersecurity concerns are addressed, and the paper concludes with actionable recommendations for organizations pursuing similar digital transformation.},
month = {June},
}