Creating Financial Management Prowess with AI-enabled Enterprise Systems

In an era where businesses are trying to stay in control of their finances, the role of current artificial intelligence (AI) enabled enterprise systems (ESs) technology has become increasingly critical in streamlining the financial management processes. The evolution of ESs has made it possible for such an AI-enabled technology to acquire and process data, identify trends and patterns, and provide information analytics in real-time for data-driven decision-making. This paper investigates the use of an AIenabled ES in enhancing financial management competence via three case studies in the New Zealand manufacturing industry. Findings reveal that by utilizing modern ESs, companies can manage their globally distributed financial processes with analytical intelligence capability for futurefocused decision making. These ESs assist in streamlining financial operations from basic bookkeeping and budgeting to complex analytical forecasting, enhancing accuracy and resource utilization in real-time to increase financial management effectiveness.

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Publication Details

Published
2024-12-18
DOI
https://doi.org/10.1109/i-coste63786.2024.11024927
Primary Topic
Big Data and Business Intelligence
Type
article
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article

Creating Financial Management Prowess with AI-enabled Enterprise Systems

Sanjay Mathrani
Big Data and Business Intelligence
article

Creating Financial Management Prowess with AI-enabled Enterprise Systems

Sanjay Mathrani
article en

Abstract

In an era where businesses are trying to stay in control of their finances, the role of current artificial intelligence (AI) enabled enterprise systems (ESs) technology has become increasingly critical in streamlining the financial management processes. The evolution of ESs has made it possible for such an AI-enabled technology to acquire and process data, identify trends and patterns, and provide information analytics in real-time for data-driven decision-making. This paper investigates the use of an AIenabled ES in enhancing financial management competence via three case studies in the New Zealand manufacturing industry. Findings reveal that by utilizing modern ESs, companies can manage their globally distributed financial processes with analytical intelligence capability for futurefocused decision making. These ESs assist in streamlining financial operations from basic bookkeeping and budgeting to complex analytical forecasting, enhancing accuracy and resource utilization in real-time to increase financial management effectiveness.

Massey University (NZ)
Openalex Percentile: Top 51%
Big Data and Business Intelligence
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