ERP System Integration to Optimize Financial Reporting in Real Estate Management

This article explores the integration of Enterprise Resource Planning (ERP) systems for optimizing financial reporting within the real estate sector. Drawing on case studies from established vendors (e.g., SAP, Oracle, MRI Software) and incorporating recent advances in AI, Artificial General Intelligence (AGI), and Artificial Super Intelligence (ASI), the study highlights the critical role of financial modules in ensuring transparency, mitigating regulatory risks, and promoting strategic decision-making. A comparative classification of ERP implementations underscores the importance of scalability and real estate-specific functionalities, while the integration of AI-driven tools demonstrates the potential for predictive maintenance, fraud detection, and enhanced cost-effectiveness. The findings suggest that an ethically and technologically sound ERP framework, coupled with robust governance models for AI, can deliver sustainable competitive advantages and inform the next generation of data-driven real estate management practices.

Authors

Publication Details

Journal
Universal Library of business and economics.
Published
2025-04-05
DOI
https://doi.org/10.70315/uloap.ulbec.2025.0201004
Primary Topic
Advanced Research in Systems and Signal Processing
Type
article
Field-Weighted Citation Impact
0.00
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article

ERP System Integration to Optimize Financial Reporting in Real Estate Management

Nigar Nasirzada
1 links
Universal Library of business and economics.
Advanced Research in Systems and Signal Processing
article

ERP System Integration to Optimize Financial Reporting in Real Estate Management

Nigar Nasirzada
article en

Abstract

This article explores the integration of Enterprise Resource Planning (ERP) systems for optimizing financial reporting within the real estate sector. Drawing on case studies from established vendors (e.g., SAP, Oracle, MRI Software) and incorporating recent advances in AI, Artificial General Intelligence (AGI), and Artificial Super Intelligence (ASI), the study highlights the critical role of financial modules in ensuring transparency, mitigating regulatory risks, and promoting strategic decision-making. A comparative classification of ERP implementations underscores the importance of scalability and real estate-specific functionalities, while the integration of AI-driven tools demonstrates the potential for predictive maintenance, fraud detection, and enhanced cost-effectiveness. The findings suggest that an ethically and technologically sound ERP framework, coupled with robust governance models for AI, can deliver sustainable competitive advantages and inform the next generation of data-driven real estate management practices.

Universal Library of business and economics.Vol. 02(01)
Openalex Percentile: Top 93%
Advanced Research in Systems and Signal Processing
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