IBM SPSS Modeler Pros and Cons
IBM SPSS Modeler Pros
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.View full review »
We have integration where you can write third-party apps. This sort of feature opens it up to being able to do anything you want.
It gives you a GUI interface, which is a lot more user-friendly and easier to use compared to writing R scripts or Python.
We have been able to do some predictive modeling with itView full review »
It scales. I have not run into any challenges where it will not perform.
It works fine. I have not had any stability issues; it is always up.
We are creating models and putting them into production much faster than we would if we had just gone with a strict, code-based solution, like R or Python.View full review »
It continues to be a very flexible platform, so that it handles R and Python and other types of technology. It seems to be growing with additional open-source movement out there on different platforms.View full review »
Automated modelling, classification, or clustering are very useful.
A lot of jobs that are stuck in Excel due to the huge numbers of rows are tackled pretty quickly.View full review »
We use analytics with the visual modeling capability to leverage productivity improvements.
It’s definitely scalable, it’s all on the same platform, it’s well integrated. I think the integration is important in terms of scalablility because essentially, having the entire suite helps a lot to scale itView full review »
It handles large data better than the previous system that we were using, which was basically Excel and Access. We serve upwards of 300,000 parts over a 150 regions and we need to crunch a lot of numbers.
So far, the stability has been rock solid.
It will scale up to anything we need.View full review »
It's very easy to use. The drag and drop feature makes it very easy when you are building and testing the streams. That's very useful.
It makes pretty good use of memory. There are algorithms take a long time to run in R, and somehow they run more efficiently in Modeler.View full review »
Our business units' capabilities with SPSS Modeler is high. They no longer waste time on modeling and algorithms, meaning they are not coding any more. For example, segmentation projects now take one to three months, rather than six months to a year, as before.View full review »
Stability is good.
We are using it either for workforce deployment or to improve our operations.
We had an IBM Guardium service contract where we used one of their resources to help us develop our prototype. It was a good experience, but they were helpful and responsive.View full review »
IBM SPSS Modeler Cons
Regarding visual modeling, it is not the biggest strength of the product, although from what I hear in the latest release it's going to be a lot stronger. That, to me, has always been the biggest flaw in using this. It's very difficult to get good visualization.
I think mapping for geographic data would also be a really great thing to be able to use.View full review »
The platform that you can deploy it on needs improvement because I think it is Windows only. I do not think it can run off a Red Hat, like the server products. I am pretty sure it is Windows and AIX only.View full review »
I would like better integration into the Weather Company solution. I have raised a couple of concerns about this integration and having more time series capabilities.View full review »
Customer support is hard to contact.
It is not integrated with Qlik, Tableau, and Power BI.
Expensive to deploy solutions. You need to buy an extra deployment unit.View full review »
It is very good, but slow. The slowness may be because we have not finalized all the background information in SPSS. It still needs some tweaking.View full review »
I understand that it takes some time to incorporate some of the new algorithms that have come out in the last few months, in the literature. For example, there is an algorithm based on how ants search for food. And there are some algorithms that have now been developed to complement rules. So that's one of the things that we need to have incorporated into it.View full review »
It would be helpful if SPSS supported open-source features, for example, embedding R or Python scripts in SPSS Modeler.View full review »
We have run into a few problems doing some entity matching/analytics.
Initial setup of the software was complex, because of our own problems within the government.View full review »
The challenge for the very technical data scientists: It is constraining for them.
C&DS will not meet our scalability needs.
I would not rate the technical support very well. The technicians have accents. When you do find someone, it is very hard to get somebody able to answer the technical questions.
The biggest issue with the visual modeling capability is that we can't extract the SQL code under the hood.
We would like to see better visualizations and easier integration with Cognos Analytics for reporting.View full review »
It's not as user friendly as it could be.View full review »