IBM SPSS Modeler Valuable Features

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

We have full control of the data handling process. We can change or add steps to the process.

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

In the solution, I like the virtualization of data flow since it shows what goes where, which is mostly the strength of the tool.

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EzzAbdelfattah - PeerSpot reviewer
Associate Professor of Statistics at KAU

It's a very organized product. It's easy to use.

Even if you look to the IBM SPSS Statistics, it is the same procedure, you can categorize data clearly that is nominal or scale. Therefore, you can analyze it in a simple way. This is different than most of the other software. IBM Modeler is really organized and it has too many automated methods that can be used easily even for the people who do not have a lot of experience.

I've been following the progress since SPSS was bought by IBM and transferred from Modeler to IBM SPSS Modeler. I'm recognizing the number of nuggets or techniques added to the software itself.

I used to give training courses in this procedure. I try to approach it like driving a car. If you drive one car, you can drive any other car. When IBM is so very organized, I find that, if you used it, you will learn how to choose the correct Data Science or Data Mining techniques. This will give you the ability to use the knowledge gained on other platforms. Most of the other solutions are trying to imitate IBM Modeler.

You have a lot of techniques and you have to use the proper techniques based on your needs, however, even some governmental places ask me for help. Sometimes they need association techniques, or clustering techniques, however, no doubt, you have to use the protective care modeling techniques, which are currently known as supervised modeling or regression techniques.

There are so many ways of analyzing data. If you have a huge amount of data with so many variables, you can use the solution to understand the learnings behind the data. Based on the objective of your research, you have a lot of techniques at your disposal. 

The initial setup was simple. 

The solution can scale.

The stability is good.

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Data Mining
March 2024
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EzzAbdelfattah - PeerSpot reviewer
Associate Professor of Statistics at KAU

It is very organized and easy to use. It's very clear in IBM, and this makes it easy to build your projects. It's not complicated at all. 

If you have no experience at all, it still remains very simple. 

The quality is very good. 

The intelligence is superior to open-source options.

It is very powerful. 

The solution is not complex to set up. 

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Giovanni Cervellati - PeerSpot reviewer
Research Manager at IDC Corporate

I think the code modeling features are the most valuable and without the need to write a code back with many different possibilities to choose from. And the second one is linked to the activity of the data preparation.

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EzzAbdelfattah - PeerSpot reviewer
Associate Professor of Statistics at KAU

The supervised models are valuable. It is also very organized and easy to use. 

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

The most valuable features of the IBM SPSS Modeler are visual programming, you don't have to write any code, and it is easy to use. 90 to 95 percent of the use cases, you don't have to fine-tune anything. If you want to do something deeper, for example, create a better neural network, then you have to go into the features and try to fine-tune them. However, the default selection which is made by the tool, it's very practical and works well.

Overall the solution is very powerful.

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EzzAbdelfattah - PeerSpot reviewer
Associate Professor of Statistics at KAU

I like the automation and that this product is very organized and easy to use. I think these features can be found in many products but I like IBM Modeler because it's very clear about how to use it. There are many other good features and I discovered something that I haven't seen in other software. It's the ability to use two different techniques, one is the regression technique and the other is the neural network. With IBM you can combine them in one node. It improves the model which is a big advantage. 

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

Compared to other tools, the product works much easier to analyze data without coding.

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it_user840873 - PeerSpot reviewer
Analyst at American Airlines

Projecting models, forecasting. Being able to incorporate things that we could only imagine, and coming into new, faster learning capabilities from it.

I don't know if we're using visual modeling. We have developers on that.

We use it for governance and security issues because we work with the airline industry; we have to make sure with the PII information, to protect and to manipulate the data if the user does decide that they want to be excluded from it. This solution helped us with their personal information, that they want to be excluded, in identifying a couple of the criteria within the system.

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PH
Application Architect at a government with 10,001+ employees

It's a very good and reasonably priced solution. As a data analyst, the data aggregation is very good. It's a very quick method to merge the data. If you can use the data site, they offer you about 20 different analytic modes. It's simple and precise and it accelerates the data. 

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it_user840852 - PeerSpot reviewer
Director of Engineering at a logistics company with 1,001-5,000 employees
  • The ability to quickly prototype. 
  • The integration into all the existing environments. 
  • The ability to not have to manage a lot of code.
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it_user766605 - PeerSpot reviewer
Clinical Assistant Professor at a university

What I like is that when you are trying to use a particular algorithm, it actually has the algorithm name. For example, there is actually a node for a C5 decision tree,  whereas with other software you get a generic decision tree and you don't know if you are doing C5 or some other kind of decision tree. I do like that, how the nodes are actually named what the algorithm is.

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AltanAtabarut - PeerSpot reviewer
ECommerce Growth Analytics at Akinon
  • Automated data cleansing, transformations and imputation of missing data.
  • Some basic form of feature engineering for classification models, automated binning, etc. This really quickens the model development process.
  • Automated modelling, classification, or clustering are very useful as well.
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it_user840903 - PeerSpot reviewer
Enterprise analytics manager at a healthcare company with 10,001+ employees

The visual modeling capability is one of its attractive features.

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it_user841950 - PeerSpot reviewer
Vp, Data And Analytics at a financial services firm with 1,001-5,000 employees

We are big-time into data analytics. AI is another area which we want to start looking at. Digital banking is important. We are looking more into digital banking and we are trying to put some features in there. I think the trend is more on that area of data analytics, digital.

I can't comment on our use of SPSS Modeler for governance and security issues.

We use analytics with the visual modeling capability to leverage productivity improvements.

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MV
Director - Institute of Advanced Analytics at a university with 1,001-5,000 employees

It's very easy to use. The drag and drop feature makes it very easy when you are building and testing streams. That's very useful.

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it_user841905 - PeerSpot reviewer
Dealer Analytics Product & Services Manager at a manufacturing company with 1,001-5,000 employees

I don't use it for governance and security issues or for visual modeling. For data visualization we use ThoughtSpot, Tableau, Power BI. In terms of the graphic capability, those are existing platforms that have a larger user base, so it's unlikely that we'll use Modeler exclusively for data visualization.

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it_user841890 - PeerSpot reviewer
Business Intelligence Manager at a manufacturing company with 1,001-5,000 employees

I think 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.

We don't use SPSS Modeler for governance or security issues.

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. I'm excited to see what they have coming down the line, because I know that's an area they've focused on the most recent release, and I'm not on the recent release yet. I haven't really been able to leverage it to make any productivity improvements with our data science or analytic teams. Most of my visualization gets done through Cognos.

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it_user823725 - PeerSpot reviewer
Senior Operations Manager – Serviceablity and Insights at a manufacturing company with 10,001+ employees

Quick insights.

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OB
Unit Manager at a insurance company with 1,001-5,000 employees

In the future, SPSS and Cognos Analytics will be integrated. We will be using the two products together.

We have not yet used IBM SPSS Modeler for governance and security issues.

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JH
Product Manager at a financial services firm with 10,001+ employees

We don't use IBM SPSS Modeler for governance and security issues. I can't talk about the visual modeling capability.

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CD
Bi Analyst at Health Canada

The muddling capabilities to help us find some trends.

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it_user766575 - PeerSpot reviewer
Research Assistant

I think it is the point and drag features that are the most valuable. You can simply click at the windows, and then pull up the functions. What you need is then directly over there, and then you can select the parameters over the windows. Then just click and the results show up.

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ZK
Contracts Manager at a program development consultancy with 1,001-5,000 employees

I think the tool is very helpful in terms of, when you work on a foothold, you can compare how many people came into the center between fiscal periods. 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 provides graphs for you to actually see how the impact has been on the financial side.

It's a user-friendly tool.

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it_user841911 - PeerSpot reviewer
IT Specialist at a government with 51-200 employees

All the statistical models that you are able to access. 

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, like some Anaconda type code. It makes it more open and accessible to users that are not as familiar with programming.

We have been able to do some predictive modeling with it. For a business case example: It definitely helped identify issues in the airline industry. The model was able to uncover a few airlines that had some anomalous behavior that we were able to pursue the issues and get them corrected.

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it_user840840 - PeerSpot reviewer
Analyst at a transportation company with 10,001+ employees

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.

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it_user380952 - PeerSpot reviewer
Quantitative Researcher at a financial services firm with 10,001+ employees

Extremely easy to use, it offers a generous selection of proprietary machine learning algorithms with advanced tuning capabilities and integration with Python.

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RP
Program Director at ABRS

GUI and flow management. 

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SK
Lecturer at School of Science, University of Phayao

New algorithms are added into every version of Modeler, e.g., SMOTE, random forest, etc. The Derive node is used for the syntax code to derive the data.

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TO
VP at a aerospace/defense firm with 10,001+ employees

We are interested in finding the right model in order to do data mining correctly. We want to learn and understand which models are best for us, then know in which cases to use them. 

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AB
Graduate Teaching Assistant at a non-profit with 5,001-10,000 employees

The most valuable feature for me is just being able to run statistical analysis on my data.  

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it_user766578 - PeerSpot reviewer
Product Team at a healthcare company with 11-50 employees

It is easy to use and robust.

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it_user6549 - PeerSpot reviewer
BI Expert at a university with 501-1,000 employees
The software is robust with advance statistical tools in hand from time series analysis to logistic regression, it can be used by banks for fraud detection, by convenience stores for market basket analysis, for cluster analysis on customer segmentation. View full review »
AA
Founding Partner at a tech services company with 1-10 employees
  • Automated data preparation
  • Some basic form of feature engineering for classification models. This really quickens the model development process.
  • Automated modelling, classification, or clustering are very useful as well.
View full review »
Buyer's Guide
Data Mining
March 2024
Find out what your peers are saying about IBM, Knime, SAS and others in Data Mining. Updated: March 2024.
765,386 professionals have used our research since 2012.