AI-driven Financial Data Analytics for SAP ERP: Techniques and Applications

Authors: Surya Sai Ram Parimi

Country: India

Full-text Research PDF File:   View   |   Download

Abstract: This survey paper explores the transformative impact of Artificial Intelligence (AI) techniques—Machine Learning, Deep Learning, Natural Language Processing, and Predictive Analytics—on financial data analysis within SAP ERP systems. AI enables SAP ERP environments to predict market trends, optimize resource allocation, and enhance risk management through advanced algorithms that process structured and unstructured financial data. Challenges such as data quality assurance, scalability of AI models, and regulatory compliance are addressed, highlighting the need for robust data governance and interdiscipli-nary collaboration. The paper discusses current research, practical implementations, and future directions in AI-driven financial analytics within SAP ERP, offering insights into how organizations can leverage AI to enhance decision-making processes and gain competitive advantage in dynamic financial land-scapes.

Keywords: AI-Driven Financial Data, SAP, ERP, Machine Learning

Paper Id: 230800

Published On: 2024-05-07

Published In: Volume 12, Issue 3, May-June 2024

Cite This: AI-driven Financial Data Analytics for SAP ERP: Techniques and Applications - Surya Sai Ram Parimi - IJIRMPS Volume 12, Issue 3, May-June 2024.

Share this