IBM SPSS Modeler Valuable Features

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. View full review »
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. View full review »
Jerry Crabb
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. View full review »
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Greg Michael
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. View full review »
Founding Partner at Altdata Analytics
* 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. View full review »
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. View full review »
Michael Mance
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. View full review »
Miguel Villalobos
Director - Institute of Advanced Analytics at a financial services firm with 501-1,000 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. View full review »
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. View full review »
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. View full review »
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. View full review »
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. View full review »
Charles-Antoine Drouin
Bi Analyst at Health Canada
The muddling capabilities to help us find some trends. View full review »
Enterprise analytics manager at a healthcare company with 10,001+ employees
The visual modeling capability is one of its attractive features. View full review »
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. View full review »
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. View full review »
Product Team at a healthcare company with 11-50 employees
It is easy to use and robust. View full review »
Suebkul Kanchanasuk
Lecturer at a consultancy
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. View full review »
Lisa Patterson
Senior Operations Manager – Serviceablity and Insights at a manufacturing company with 10,001+ employees
Quick insights. View full review »
Ritchie Poon
Program Director with 11-50 employees
GUI and flow management. View full review »
Find out what your peers are saying about IBM, SAS, Knime and others in Data Mining. Updated: October 2019.
371,355 professionals have used our research since 2012.
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