How to automate master data management with machine learning?

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.