Leveraging the Aster platform and the TeradataAsterR package, end users can overcome the challenges of memory/scalability limitations of R and the costs of transferring large amounts of data between platforms. We explore integration of R with Aster, a MPP database from Teradata, focusing on a predictive analytical case study from Wells Fargo. It’s always crucial for Wells Fargo to understand customer behaviors and why they do it. In this analysis, we utilized Aster’s graph analysis functionalities to explore customer relationship, and check how network effect changes customers’ behaviors. A logistic regression model was built, and a R shiny application was also used to visually represent impact of important attributes from the model.
