I was familiar with using IBM SPSS Modeler separately in the private sector before that. It's a good tool for extracting data from data warehouses, creating streams, and manipulating logic to extract final data.
IBM SPSS Modeler offers ease of use with proprietary machine learning algorithms, a point-and-click GUI, and visual modeling capabilities, making it scalable for technical and non-technical users. However, it lacks popular algorithms and integration with tools like Qlik and Tableau. Users report stability issues and long processing times when handling large datasets, needing improvements in regression and time series analysis automation. Non-integration with programming languages like MATLAB limits its flexibility.
