IBM SPSS Modeler

IBM SPSS Modeler

(41)
3.7 out of 5 stars

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.

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IBM SPSS Modeler Reviews

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IBM SPSS Modeler review by <span>Adam J.</span>
Adam J.
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SPSS an time saving tool

What do you like best?

Are you doing research on literally anything with numerical data? Then I would highly recommend this program. After a little bit of reading the fine manual anyone can use this to automate and easily gather statistical data. Ease of use along with comprehensive functions makes SPSS a life saver on time dealing with data.

What do you dislike?

Nothing to really dislike, it uses python for custom code which is a pain but that can easily be overcome with a few python tutorials.

Recommendations to others considering the product

Make sure you have a decent understanding of programming and mathematical models to truly understand SPSS. If you cannot grasp the automation fact then this program will cause you pain. I can instead recommend hiring someone who knows how to use SPSS to do you data analysis for you then.

What business problems are you solving with the product? What benefits have you realized?

Not necessarily business, I was doing research as an undergraduate and this tool was provided when I was working. The problem to be solved was a way to easily input data and get the statistical results.

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IBM SPSS Modeler review by User in Hospital & Health Care
User in Hospital & Health Care
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IBM SPSS Modeler provides straightforward way to mine and analyze complex data

What do you like best?

Love the ease with which you can create predictive models and perform other analytic tasks. The visual interface is easy to use so that you do not need to have knowledge of programming or spend lots of time learning how to program models; it does this for you.

What do you dislike?

There is a lot to learn with this program, so that I feel as though I'm not taking advantage of all it has to offer. This isn't so much of a dislike, though, as it is a desire on my part to learn more so that I can utilize it to the fullest of its capabilities.

Recommendations to others considering the product

It is definitely worth trying out. It has taken the problem of how to handle the complexity typically involved with making statistical models and worked to solve it, such that much of this unnecessary complexity has been removed. If you need to make statistical models from complex sets of data, this is a product worth trying.

What business problems are you solving with the product? What benefits have you realized?

Have been able to make complex predictive models that are fairly easy and straightforward to use, so that this task isn't as unnecessarily complex as it once was.

What Predictive Analytics solution do you use?

Thanks for letting us know!
IBM SPSS Modeler review by <span>Vikas R.</span>
Vikas R.
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Should be first choice of Novice & Experienced one!

What do you like best?

The drag and drop method of creating graphics is very intuitive and interactive i.e. users can visualize the graphic as they are creating it. Also the Variable View tab of SPSS is extremely useful.

What do you dislike?

New user will struggle if they come across large set of data. Also improvement in the visualization part is needed.

Recommendations to others considering the product

My experiences with SPSS Modeler are very positive.

Ease of pre-analysis data manipulation (including data cleaning) activities such as the easy of restructuring data, identifying duplicate cases, merging files, recoding variables, selecting cases for analysis etc. So go for it.

What business problems are you solving with the product? What benefits have you realized?

Mainly Capacity Planning Forecast.

IBM SPSS Modeler review by User in Medical Devices
User in Medical Devices
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Good stats program for starters...

What do you like best?

SPSS is an easy product to use--I learned the basics when I was in college. Very good for ANOVA and basic statistic analyses. Output tables are easy to read and managing both windows is good.

What do you dislike?

Difficult to process higher level statistics such as factor analyses. Is good to be paired with excel for graphs--not so great as a standalone for visual representations.

Recommendations to others considering the product

For more complex analyses I would recommend using MPlus statistics. SPSS is good for beginners who are still developing their skills. It is a step up from using Excel. I cannot make a recommendation based on pricing since it was paid for by my laboratory.

What business problems are you solving with the product? What benefits have you realized?

Conducting analyses to simple psych experiments--it was a good tool for students to develop their analytical skills.

IBM SPSS Modeler review by User in Higher Education
User in Higher Education
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One doesn't always have a choice..

What do you like best?

What's good is that IBM SPSS is a standard, so if you are adept at using it, then people are usually convinced that you're capable of statistical analysis and modelling.

What do you dislike?

It's a bit clunky and can be limiting when you want to do more advanced modelling, but if you're at that stage, you're probably already looking at something like R, so you know what's up.

Recommendations to others considering the product

Think about how complex, nuanced you need to be with your modelling. It may be the case that a more responsive package will serve you better, but IBM SPSS Modeler is good for a cookie-cutter-style approach.

What business problems are you solving with the product? What benefits have you realized?

Not so much problems as much as needs. We needed data modeled. We've used SPSS to do that, before.

IBM SPSS Modeler review by <span>Sarah M.</span>
Sarah M.
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Too expensive/ complicated for my needs

What do you like best?

There are a million resources out there to help you get through issues.

What do you dislike?

Overall, too expensive and too much unnecessary complexity for the moderate level of analysis I was running.

What business problems are you solving with the product? What benefits have you realized?

I attempted to use the system to predict forecast needs against multiple variants across several different subcategories. I found that the model didn't perform substantially better than an easier to build Nielsen model. For me, too much complexity for too simple of an ask.

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