Compare IBM SPSS Modeler vs. IBM SPSS Statistics

IBM SPSS Modeler is ranked 1st in Data Mining with 23 reviews while IBM SPSS Statistics is ranked 5th in Data Mining with 4 reviews. IBM SPSS Modeler is rated 8.0, while IBM SPSS Statistics is rated 6.8. The top reviewer of IBM SPSS Modeler writes "Ease of use, the user interface, is the best part; the ability to customize streams with R and Python is useful". On the other hand, the top reviewer of IBM SPSS Statistics writes "Provides a good number of modelling techniques although data visualization is not easy to do". IBM SPSS Modeler is most compared with KNIME, Alteryx and IBM Watson Studio, whereas IBM SPSS Statistics is most compared with IBM SPSS Modeler, MathWorks Matlab and Weka. See our IBM SPSS Modeler vs. IBM SPSS Statistics report.
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Most Helpful Review
Find out what your peers are saying about IBM SPSS Modeler vs. IBM SPSS Statistics and other solutions. Updated: September 2019.
366,239 professionals have used our research since 2012.
Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros
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.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.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.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 itThe 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.

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It has helped our analyst unit deliver work with more transparency and confidence, given that we can always view the dataset in totality, after each step of data transformation.The learning curve to using this product is not steep. The program is appropriate for those who do not have a lot of background in programming, yet have to perform basic statistical analysis.Custom tables and macros: They allow us to create useful reports quickly for a broad audience.in terms of the simplicity, I think the SPSS basic can handle it.

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Cons
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.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.The standard package (personal) is not supported for database connection.Unstructured data is not appropriate for SPSS Modeler.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.

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Needs more statistical modelling functions.Better documentation on how to use macros.Perhaps in terms of visualization. It's not really easy to do some data visualization, just simple, descriptive analysis in SPSS. I think that could be an area for improvement.

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Pricing and Cost Advice
When you are close to end of quarter, IBM and its partners can get you 60% to 70% discounts, so literally wait for the last day of the quarter for the best prices. You may feel like you are getting robbed if you can't receive a good discount.It got us a good amount of money with quick and efficient modeling.The scalability was kind of limited by our ability to get other people licenses, and that was usually more of a financial constraint. It's expensive, but it's a good tool.It is a huge increase to time savings.If you are in a university and the license is free then you can use the tool without any charges, which is good.Having in mind all four tools from Garner’s top quadrant, the pricing of this tool is competitive and it reflects the quality that it offers.

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Our licence is on a yearly renewal basis. While pricing is not the primary concern in our evaluation, as products are assessed by whether they can meet our user needs and expertise, the cost can be a limiting factor in the number of licences we procure.More affordable training for new staff members.If it requires lot of data processing, maybe switching to IBM SPSS Clementine would be better for the buyer.

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report
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366,239 professionals have used our research since 2012.
Ranking
1st
out of 16 in Data Mining
Views
9,664
Comparisons
7,402
Reviews
23
Average Words per Review
458
Avg. Rating
8.1
5th
out of 16 in Data Mining
Views
3,615
Comparisons
3,028
Reviews
4
Average Words per Review
266
Avg. Rating
6.8
Top Comparisons
Compared 18% of the time.
Compared 13% of the time.
Compared 10% of the time.
Also Known As
SPSS ModelerSPSS Statistics
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IBM
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Overview

IBM SPSS Modeler is an extensive predictive analytics platform that is designed to bring predictive intelligence to decisions made by individuals, groups, systems and the enterprise. By providing a range of advanced algorithms and techniques that include text analytics, entity analytics, decision management and optimization, SPSS Modeler can help you consistently make the right decisions from the desktop or within operational systems.

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Your organization has more data than ever, but spreadsheets and basic statistical analysis tools limit its usefulness. IBM SPSS Statistics software can help you find new relationships in the data and predict what will likely happen next. Virtually eliminate time-consuming data prep; and quickly create, manipulate and distribute insights for decision making.
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Sample Customers
Reisebªro Idealtours GmbH, MedeAnalytics, Afni, Israel Electric Corporation, Nedbank Ltd., DigitalGlobe, Vodafone Hungary, Aegon Hungary, Bureau Veritas, Brammer Group, Florida Department of Juvenile Justice, InSites Consulting, Fortis TurkeyLDB Group, RightShip, Tennessee Highway Patrol, Capgemini Consulting, TEAC Corporation, Ironside, nViso SA, Razorsight, Si.mobil, University Hospitals of Leicester, CROOZ Inc., GFS Fundraising Solutions, Nedbank Ltd., IDS-TILDA
Top Industries
REVIEWERS
Financial Services Firm25%
Manufacturing Company15%
Healthcare Company10%
Government10%
VISITORS READING REVIEWS
Financial Services Firm21%
Software R&D Company16%
University11%
Government5%
No Data Available
Find out what your peers are saying about IBM SPSS Modeler vs. IBM SPSS Statistics and other solutions. Updated: September 2019.
366,239 professionals have used our research since 2012.
We monitor all Data Mining reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
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