AI and Big Data Analytics for Cash Flow Optimization in an Organization

The research aims to discuss the place that Artificial Intelligence and Big Data Analytics have in cash flow management, striving for further perfection of financial processes within organizations. It focuses on how AI and Big Data help make proper forecasts, enable better decision-making, reduce costs, and monitor cash flows in real time. The study uses literature and current research findings to show the transformative power of AI and big data in revolutionizing traditional financial practices. Various challenges and limitations during implantation are discussed, including data privacy concerns, integration with older systems, high implementation costs, and skill gaps. The paper concludes by Underlining the proactive adoption of AI and Big Data in cash flow management as a lever towards attaining sustainable growth and competitive advantage in a data-driven business environment.

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Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1109/i3ceet61722.2024.10993608
Citations
6
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
3.17
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AI and Big Data Analytics for Cash Flow Optimization in an Organization

Arpit Walia, Amar Johri, Anu Sayal, Vasim Ahmad et al.
6 citations
Big Data and Business Intelligence
3.17
article

AI and Big Data Analytics for Cash Flow Optimization in an Organization

Arpit Walia, Amar Johri, Anu Sayal, Vasim Ahmad, Mohammad Asif, Anup Shekhar Chamoli
article en
6 citations

Abstract

The research aims to discuss the place that Artificial Intelligence and Big Data Analytics have in cash flow management, striving for further perfection of financial processes within organizations. It focuses on how AI and Big Data help make proper forecasts, enable better decision-making, reduce costs, and monitor cash flows in real time. The study uses literature and current research findings to show the transformative power of AI and big data in revolutionizing traditional financial practices. Various challenges and limitations during implantation are discussed, including data privacy concerns, integration with older systems, high implementation costs, and skill gaps. The paper concludes by Underlining the proactive adoption of AI and Big Data in cash flow management as a lever towards attaining sustainable growth and competitive advantage in a data-driven business environment.

Saudi Electronic University (SA), Uttaranchal University (IN), Taylor's University (MY)
Decent work and economic growth
Openalex Percentile: Top 7%
Big Data and Business Intelligence
3.17
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AI and Big Data Analytics for Cash Flow Optimization in an Organization — Arpit Walia, Amar Johri, et al. · (2024) | TGRS Research Map | TGRS