IBM SPSS Modeler Reviews & Product Details
- New York, USA
- $50BN to $100BN
- Data Management: It helps extract physical data and combine it with current as well as historical data to improve the accuracy of predictions and identifies trends and patterns
- Extensive Analytics Capabilities: It provides numerous machine learning techniques that help in the association, segmentation, and classification of data
- Integrated Sources: It can read data from varied sources and expand its capabilities to choose the most suitable model to be used
SPSS Modeler reduces the complexities involved in the transformation of data by providing easy-to-use models. SPSS Modeler is extensively used across various languages to analyze data from multiple databases. It majorly helps in analyzing data to predict customer churn rates and data sets. The application can be used across various industry verticles.
- No Weaknesses
“A great way to professionally build and manage databases"
“Decision making made easier with this data analysis program."
The software’s ability to organize and use variable for tool application is what works best for me. Evaluation of the behavior of dependent and independent variables for linear regression analysis makes it easy to compile reports, further enabling easier decision making. It is also extremely user-friendly, with each icon distinctly visible. If I had to pick an area of improvement, I would say it is the quality of its graphics. They do not seem very professional and perhaps they can be updated to seem so.
I believe that this is an ideal software for organizations lookimg to systemize its data and work using dependent as well as independent variables. It works excellently to present inferential statistics to help organizations grow. However, if you’re looking for exceptional graphics, then this might not be the one for you.
“Complicated and old school"
“IBM Modeler is perfect for mining and analysing complex data."
Even someone without in-depth knowledge of programming can use this software. That’s how user friendly its interface is. It not only creates predictive models but also performs other analytical tasks. The only drawback I could identify is that I might not be able to take advantage of all the features. It will take me some time to fully learn and harness all its benefits. I would recommend it to anyone who is looking to work with complex sets of data to obtain statistical models. It has simplified the process to a great extent.