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IBM SPSS Modeler pros and cons

Vendor: IBM
4.0 out of 5
2,126 followers
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IBM SPSS Modeler Pros review quotes

it_user841890 - PeerSpot reviewer
Mar 21, 2018
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.
it_user841911 - PeerSpot reviewer
Mar 21, 2018
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.
EzzAbdelfattah - PeerSpot reviewer
Feb 4, 2022
It's a very organized product. It's easy to use.
Learn what your peers think about IBM SPSS Modeler. Get advice and tips from experienced pros sharing their opinions. Updated: November 2024.
816,406 professionals have used our research since 2012.
PeterHuo - PeerSpot reviewer
Jul 12, 2024
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.
reviewer1428942 - PeerSpot reviewer
Oct 11, 2020
You take two quarters and compare them and this tool is ideal because it gives you a lot of visibility on the before and after.
it_user840852 - PeerSpot reviewer
Mar 20, 2018
It scales. I have not run into any challenges where it will not perform.​
it_user841905 - PeerSpot reviewer
Mar 21, 2018
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.
EzzAbdelfattah - PeerSpot reviewer
Sep 22, 2020
Automation is great and this product is very organized.
AltanAtabarut - PeerSpot reviewer
Nov 3, 2018
Automated modelling, classification, or clustering are very useful.
it_user380952 - PeerSpot reviewer
Sep 29, 2017
Extremely easy to use, it offers a generous selection of proprietary machine learning algorithms.
 

IBM SPSS Modeler Cons review quotes

it_user841890 - PeerSpot reviewer
Mar 21, 2018
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.
it_user841911 - PeerSpot reviewer
Mar 21, 2018
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.
EzzAbdelfattah - PeerSpot reviewer
Feb 4, 2022
The time series should be improved.
Learn what your peers think about IBM SPSS Modeler. Get advice and tips from experienced pros sharing their opinions. Updated: November 2024.
816,406 professionals have used our research since 2012.
PeterHuo - PeerSpot reviewer
Jul 12, 2024
There are performance issues. Extracting data from many combined tables can take hours and occasionally crash the server due to memory leaks. This performance problem bothers people. The performance issue seems to be related to the server. We design streams on the client and submit them to the server, which generates a large SQL statement. There are two potential bottlenecks: one in the server and another in data extraction. I'm unsure about the exact mechanics of data splitting when fetching from the database.
reviewer1428942 - PeerSpot reviewer
Oct 11, 2020
When you are not using the product, such as during the pandemic where we had worldwide lockdowns, you still have to pay for the licensing.
it_user840852 - PeerSpot reviewer
Mar 20, 2018
​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.​
EzzAbdelfattah - PeerSpot reviewer
Sep 22, 2020
Dimension reduction should be classified separately.
AltanAtabarut - PeerSpot reviewer
Nov 3, 2018
Customer support is hard to contact.
it_user380952 - PeerSpot reviewer
Sep 29, 2017
It would be beneficial if the tool would include more well-known machine learning algorithms.
it_user840840 - PeerSpot reviewer
Mar 20, 2018
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.