Transforming Enterprise Resource Planning Data Migration through Artificial Intelligence |
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| © 2024 by IJCTT Journal | ||
| Volume-72 Issue-3 |
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| Year of Publication : 2024 | ||
| Authors : Indrajit Roy Chowdhury, Gunjan Goswami | ||
| DOI : 10.14445/22312803/IJCTT-V72I3P104 | ||
How to Cite?
Indrajit Roy Chowdhury, Gunjan Goswami, "Transforming Enterprise Resource Planning Data Migration through Artificial Intelligence ," International Journal of Computer Trends and Technology, vol. 72, no. 3, pp. 27-32, 2024. Crossref, https://doi.org/10.14445/22312803/IJCTT-V72I3P104
Abstract
This article investigated the role of cloud-based Artificial Intelligence (AI) to enhance data migration within enterprise resource planning (ERP) transformation. It highlights the integration of advanced AI tools, including both machine language models and large language models, to improve data migration processes in ERP implementations. The study details how AI facilitates the transformation of both structured and unstructured data, augments data quality assessments, and streamlines mapping and transformation logic. Additionally, it addresses the automation of testing and quality checks by AI during the transformation and loading phases. We performed an in-depth analysis of the necessary technical architecture for AI integration with major standard ERP systems and discussed security and privacy concerns in cloud-driven data migrations. Given the recent developments in standard ERP packages, which now enable easy integration with the cloud, this research also explores ERP professional communities’ perception regarding AI’s application for data migration purposes.
Keywords
ERP, Data Migration, Data Conversion, Artificial Intelligence, Cloud, SAP.
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