MACHINE LEARNING-ENHANCED MASTER DATA MANAGEMENT (MDM) IN S/4 HANA: AN ENTERPRISE-WIDE APPROACH

Authors

  • Puneet Agrawal, Tushar Chaudhari Author

DOI:

https://doi.org/10.48047/30c8f938

Keywords:

Master Data Management, Machine Learning, SAP S/4 HANA, Data Accuracy,

Abstract

This is an analysis of how ML is implemented in MDM and its application in the SAP S/4 HANA ecosystems for improved data credibility, control, and mainstreaming. Standard MDM frameworks are ineffective in detailing the patterns of present-day usage, unlike ML 
technologies which enable real-time data scrubbing, data organisation, and data classification. 

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Published

10.01.2017

Issue

Vol. 7 No. 1 (2017): Volume 7 issue 1 (2017)

Section

Articles

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How to Cite

MACHINE LEARNING-ENHANCED MASTER DATA MANAGEMENT (MDM) IN S/4 HANA: AN ENTERPRISE-WIDE APPROACH . (2017). International Journal of Information and Electronics Engineering, 7(1), 48-56. https://doi.org/10.48047/30c8f938