IBM SPSS Modeler Room for Improvement

Javier Segovia - PeerSpot reviewer
Professor of Data Mining at Universidad Politecnica de Madrid

Neural networks are quite simple, and now neural networks are evolving to these architecture related to deep learning, etc. They didn't incorporate this in IBM SPSS Modeler.

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EzzAbdelfattah - PeerSpot reviewer
Associate Professor of Statistics at KAU

It is not free to use. 

The forecasting could be a bit easier. They should include more recent techniques. 

A lot of competition is currently being built. IBM needs to increase its capabilities. Otherwise, it will be overtaken by other options. 

Sometimes IBM gives you the graphs only. There needs to be more visualizations for non-technical people. 

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Levi Dovillaire - PeerSpot reviewer
Senior Paper Technology Manager, EMEA at Valmet

I work with many data and tags. The product does not have a search function for tags. I cannot search for the name of the tag. I need to go through a list to find it. The software is old. The solution must be updated. It should also be a little bit faster. If we change the name of a field, the change should reflect in all the nodes we use later.

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Data Mining
February 2024
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Abel Georges - PeerSpot reviewer
Principal Scientist I at a manufacturing company with 10,001+ employees

Speaking about the room for improvement, I can say the solution is outdated.

It would be good if there was potentially some space in the solution for open-source languages like Python or other coding languages associated with analytics, PySpark, or Python.

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Giovanni Cervellati - PeerSpot reviewer
Research Manager at IDC Corporate

The integration with sources and visualisation needs some improvement. The scalability needs improvement.


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Anton Nenov - PeerSpot reviewer
Credit Risk Manager at ITF Group JSC

The platform's cloud version needs improvements. The process to access workflow could be user-friendly. It could be easier to log in and manage security levels. Additionally, it needs to be more popularized and introduce customization options for small companies along with enterprises.

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Buyer's Guide
Data Mining
February 2024
Find out what your peers are saying about IBM, Knime, SAS and others in Data Mining. Updated: February 2024.
763,955 professionals have used our research since 2012.