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Profiling of suppliers for the purchase of raw materials through the development of a datawarehouse and data mining techniques with R language

Abstract:

Today’s business decisions focus on data, the same that originate from different sources, an important decision for companies is the profiling or classification of suppliers, which allows decision-makers to carry out different actions on them, such as service agreements or commitments. The objective of this research work was to develop a data warehouse and analyze this information using data mining techniques. The Datawarehouse was created using the Hefesto methodology, the data mining techniques were carried out with the R programming language, a report was obtained from suppliers with variables compatible with each other that allowed data mining techniques to be executed.