Cognitive Cleansing: AI-Driven Data Quality Pipeline for Modernizing ERP Systems
DOI:
https://doi.org/10.48047/n7340b64Keywords:
Data Profiling, Data Cleansing, ERP Systems, Artificial Intelligence, Legacy Systems, Anomaly Detection, Large Language Models, Data Quality, AutoML, Knowledge GraphsAbstract
Legacy Enterprise Resource Planning (ERP) systems are plagued by data quality issues arising from decades of inconsistent data entry, lack of standardization, and outdated validation practices. These limitations severely hinder the adoption of AI and analytics across critical business processes.
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Published
21.07.2024
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How to Cite
Cognitive Cleansing: AI-Driven Data Quality Pipeline for Modernizing ERP Systems. (2024). International Journal of Information and Electronics Engineering, 14(4), 62-72. https://doi.org/10.48047/n7340b64
