The ease of use in the user interface is the best part of it. The ability to customize some of my streams with R and Python has been very useful to me, I've automated a few things with that.
IBM SPSS Modeler accelerates model development with proprietary machine learning algorithms that efficiently handle large datasets and integrate with R and Python. It enhances productivity with automated modeling and boasts scalability and flexibility. However, it faces integration challenges with platforms like Qlik and Tableau and needs more well-known algorithms and regression models. Stability issues like crashes and costly licensing impact adoption, alongside the need for improved deep learning support.
