How to automate master data management with machine learning?
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Authors
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Publication date
2021
Typ of student thesis
Bachelor
Course of study
Collections
Type
11 - Student thesis
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Hochschule für Wirtschaft FHNW
Place of publication / Event location
Basel
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Manufacturer, Northwestern Switzerland
Abstract
Insufficient training, undefined or unclear processes, and the decentralization of subsidiaries in the past result in challenges for the company’s master data management (MDM) and master data quality today. Due to the described sources of the MDM problem, three goals were determined. First, an analysis of the article master data has to be conducted. Second, an identification and recommendation of MDM best practices has to be made. Third, a recommendation of how to proceed, based on the results of the two other objectives, will be given.
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English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
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Review
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Citation
Schaller, P. (2021). How to automate master data management with machine learning? [Hochschule für Wirtschaft FHNW]. https://irf.fhnw.ch/handle/11654/41141