IBM SPSS Modeler Reviews

Personally, I think that for a new user, it is a friendly way to work in a first phase with a treatment of certain information and then seek utility through the different statistical algorithms.

I think that if you were using SSPS Statistics instead in the way of working from code to configurable addresses which is not necessarily bad, it could be a paradigm change that is difficult to overcome.

Another issue may be some very hidden configurations within the nodes.

Evaluate all the options of this type of products in the market, the specific need can be covered in many ways, it is better to first define your need and then rely on analytical tools that are not and do everything.

Mainly some statistical models generated with the tool and related to predict customer behavior.

We are currently in the stage in which we seek the evaluation, optimization and automation of these models.

Modeler is great when yu have multiple problems that can be resolved with analytics. You can use it to modify data in order to be in good condition for modeling and also it have a significant ammount of techniques that you can apply. Also, you can integrate Modeler with R project and with Phyton, wich is great to give it more functions.

One great advantage of modeler is the easy of automatization of process.

Modeler lacks of important statistical tests, like normality, randomness, etc. This is not good when you are making regressions and need to test the assumtions about the errors.

Other thing that migth be a need to improve is the lack of techniques to analyze unestructured data like images or videos.

Offer more alternatives to the users that used entity analytics and social network analytics.

We are cleaning our data with modeler, and making a lot of reports about our main kpis. Also we are making simple assosiation modeles to know what to offer to our clients.

The greatest benefits we have realized are the automatization of proceses. With the streams there is very easy to get results in no time. Also we are integrating our Modeler with CAD Services and Cognos in order to execute the proceses in a regular base and to make reports for the managers.

This is a very easy, intuitive software to use to connect multiple databases and sources together and transform data as well as apply different statistical forecasting methods to it. It is point and click so you don't need to write code.

I cannot think of anything that I didn't like about the product.

It's a bit pricey to get licenses for an entire team. Work with IBM to negotiate concurrent user licenses on remote computers.

This software help us bring our Abacus RFM scoring model in house and convert our segmenting to a predictive model on each customers buying behavior. This saved us over $300,000 annually by not having to pay outside vendors for this type of monthly analysis.

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.

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.

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.

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.

SPSS Modeler gold is a fascinating product -- it allows you to adequately and accurately model equations that you cannon with plain old SPSS. Especially now that the brink of psychological research is through structual equation modeling and higher oder processes, it allows me to complete better, more acurate results with needing to know only a little coding.

How much it costs. My institution pays for it, so I can use it. I would not be able to afford the product if I did not have access to it through my University.

It allows me to create accurate SEM equations and help me teach my students and present my research better.

If you are business user, you keep thinking on the business problem you want to resolve, building an analysis at speed of thinking. Once finished you can deploy the result easily. If you are coder, you can also use Python or R, in the same environment, so is pretty handy for both approaches.

New GUI available, and interesting upcoming features!

Get the best from your data and transform it into valuable insights for your business.

Several... we have been able to help different companies to make faster decisions, which in turns results in improving customer satisfaction, better business operations, as well as environment understanding.

It works for me for data mining and text analytics. I used to use it to build predictive models and conduct other analytic tasks.

Although it is an IBM product, you need to use R, Python, Spark, Hadoop and other free technologies to empower your analytics. This software is not enough on its own for me.

Make sure that you know how to use it and add power to your analysis through softwares like R.

I do the statistical analysis as a research assistant. I find the online version of the software that is provided to me for free by my institution quite helpful and handy. But it might cause certain problems when you connection is slow.

This software is the most comprehensive package for SPSS statistics. It enables sharing integration and optimization of models based on predictive tools. The best thing is that it's available on Cloud so easily accessible! Especially useful at large scale organizations such as hospitals where these are useful for efficiency of data collection and analysis.

Definitely a hefty price but worth including as part of the budget especially for anything involved with research and data analytics on a regular basis!

Definitely talk to customer service!

This software has helped extensively with performance improvement measures and efficiencies of workflow in the departments.

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.

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.

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.

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.

The new UI is very intuitive. Very easy to build predictive models using Auto Classifier. With Text Analytics now available, do not have to look for a different tool for working on unstructured data.

The ability to customize the available algorithms using Python/R is very helpful for advanced requirements.

Modeler makes it easy for Business Analysts to directly work on data mining projects. Not having to deal with programmers who do not always understand the importance of all data fields minimize errors.

Not being an open source tool is limiting adaption of SPSS Modeler.

Room for improvement in NLP capabilities.

Text Analytics available only in Gold edition.

Worth evaluating this option. Easy for BAs and analysts with limited coding experience to create great data models.

Insights from large amount of structured and unstructured data helping make organizational decisions easy.

Not much, Modeler did all the things you could do just leveraging a script-language like R or Python. It even has "nodes" for those languages. I guess it's slightly easier to share assets created in this enviorn w/ non-technical folks?

Modeler is a very "space-heavy" program. The client is at least several hundred megs, and it doesn't seem to run well on decently powered laptop systems. Definitely much more heavy footprint than a standard Python or R client.

I believe this has moved entirely to the cloud w/ Watson cloud. The local-install client should probably be totally retired.

Standard predicative data science problems. Mostly building either scoring or prediction engines.

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.

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

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.

Mainly Capacity Planning Forecast.

Palette is functional and visually easy. There is a lot that the modeler can be applied to. I like the text analytics package the best. You do not need to be a programmer to use and mine the data. The software has good visualizations.

Not enough support and materials to learn and troubleshoot when there are issues with the stream.

Learn the product before purchasing and use it for comprehensive analytics, as it is quite powerful. It is useful for all datasets, regardless of size and source.

Working with the text analytics package for email review. It is a powerful platform and can gain a lot of insight into text data. This platform is applicable to all datasets, regardless of size.

The visual interface is easy to use without a lot of prior knowledge of programming.

Sometimes the application can be difficult to navigate. It takes a bit of practice but once you get the hang out it, it is an amazing resource for statistical algorithms and models.

Fantastic product.

Being able to data mine and analyze fairly quickly to create models for work using a visual interface helps to conceptualize problems.

SPSS has a simple layout. It is easy to learn syntax. It works well for running descriptive and regression analyses.

SPSS slows down with larger datasets. I found STATA much faster. SPSS code is also not as intuitive as that of STATA. SPSS visual displays leave much to be desired. I generally create displays based on the analyses in Excel.

We use SPSS to merge large datasets and provide anuual, monthly, and other periodic reports to interested parties.

SPSS allows higher education to use predictive modeling and to assess retention and graduation rates. It allows for us to dig further into responses from surveys to have information different departments in the university to use.

Sometimes running scripts on SPSS is difficult because it can be very finicky.

We use SPSS to get a better understanding of our student population and how retention and graduation can benefit students and the university.

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.

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.

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.

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

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.

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.

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.

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

I'm an accountant by trade and was easily able to learn the tool. You don't have to be a data scientist to make meaningful models.

Some nodes don't work the same when you start to integrate python. It required some work arounds in a model that otherwise worked perfectly and had to be reconfigured.

We created a suggestive selling algorithm for our beer sales team. We're the largest beer distributor and estimated an increased $10M in revenue in the first year of rolling this out across our web, call center and sales team.

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

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

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.

I like the way the system takes your data, helps to clean it, and then can find deep correlations that wouldnt be easy to fins without the tool.

I dislike the way the tool uses visualizations. it could improve in that regard.

we solved an issue using 3 million lines of data and determined the root cause of the data issues.

This is perfect if you are doing research on anything with numerical data. It is very easy to use and manipulate statistical data. It’s a time saver.

I don’t dislike anything really. The only thing is that you must use other statistical software to really make your data useful (including R studio, Python, etc.). Depending on your needs, this means that this program may not be optimal and needs more tools.

As a researcher, I use this tool to do statistical analyses. I have therefore solved many research questions using this tool.

Visualization of the data mining and analysis process, of the steps within this process, which is built like from a design thinking perspective. It makes it much easier for analysts to improve their analysis.

Integration with IBM Security portfolio - i2 offering

Better integration with COGNOS

More effective enforcement environmental activity

I love the predictive modeling features that you can input various risk factors and predict disease outbreaks

the code is intensive and I think better concise reference materials need to be developed

excellent and very user friendly but can't analyze everything sometimes I need to use SAS

we are most doing data analysis of surveillance data for infectious disease as well as research studies of global health

I like how easy it is to drag and drop the nodes onto the workspace to begin a stream. This allows a lot of room for self discovery and being able to jump in with the recommended nodes.

There isn't enough modelling examples that match what me and my team are trying to achieve. This leads us to spending time trying to solve the issue alone.

Predicting storm caused equipment damage based on historical data. This allows us to prestage and limit the impact on customers.

Drag and drop functionality, ease of use for non data scientist

The user interface and it seems like it is becoming outdated

Great for starting out in the predictive space

Being able to identify the direction of the company and make correct decisions

with detailed information IBM SPSS Modeler can give you a very detailed and accurate prediction

its not cheap to acquire but i can assure you that it is cost effective

no other

currently none. i am more of a referral person. i refer people to a product based on their requirements

SPSS statistic is a very handy and powerful tool, thanks to it we have found great data through business opotunities

I am satisfied with the use of this tool

OK

origination of credit, increasing the number of clients in the portfolio

Ease of use for uploading data and then organizing it for analysis. No Code!

It's not necessarily easy to learn, but once you do learn the basics then it's pretty easy to make edits and changed to your data.

Take the time to learn the basics and take a few user tutorials, and then it's all pretty easy.

I was using to organize and analyse a survey, with different ID's (gender, age, etc) and also with open ended questions. I needed to know what type of user was using a particular system, and why.

The software allows complex data modelling. It is a very useful program for "big data".

It didn't work well with my multi dimensional shape data. When you have 10 thousand individuals with 90 variables each - I needed to switch to R.

If you have big data, this software is great. It allows complex data modeling and visualization. Really great for use in presentations because the graphical output is beautiful. It really does help with understanding complex data when a clear visual is able to be produced.

Ability to model complex data. Ability to visualize the complex data.

just like other products, the Modeler is very user-friendly interface

of course, compatible with other SPSS products that users can advance from

SPSS can keep catching up newer/advanced statistical models

Relatively slow when running very large scale data sets

Predictive modeling in criminal justice/juvenile justice data in conjunction with census data

SPSS is fairly user friendly. I like the options of pointing and clicking or running syntax.

There are a few things that are not exactly intuitive and the default graphs are not very aesthetically pleasing. It is also difficult to run a repeated measures ANOVA. It also takes up a lot of memory

If you need to run complicated statistics like multilevel modeling, you will either need to learn the syntax, or will need to run something like R.

I am running statistics for molecular neuroscience research in my laboratory. I am often comparing controls vs. experimental animals.

I was able to learn it fairly quickly and it is user friendly. Much easier than other programs I have used in the past..

There is nothing specific that I do not like.

I am doing some research analysis.

It gives the visualization of data in few easy steps.

As of now i dont find anything which i dislike

It calculates the t tests and mode, median.

It makes the data visualizations very easy.

The new interface is really fantastic. The new features about graphic analytics allows to user to explote really his data organization,, it's interactive and analytically powerfull.

I use Modeler for 10 years and I see his evolution....

Really there is not much to say. But I would like that SPSS Modeler can to export streams to C code.

Whith my financial clients: Churning, forecasting, clustering about preference and operational and preference.

Its analytical and predictive modeling capabilities as well as its ease of use. Its drill down functionality.

It has limited programming ability and limitations to sharing data with intended recipients.

Its a very good modeling software that has excellent reporting, analytical and modeling capabilities and shifted our company from reflective/historical reporting to proactive reporting.

To analyze and evaluate our sales pipeline to improve our close ratio and provide insights into our product performance.

I've used this program for research purposes using large datasets. It helped me to manage this effectively and derive meaning from the data that could be used to support policy decisions.

It can be a bit cumbersome to find where elements you want to create are, but overall I am impressed.

Because I am using this for research purposes with large datasets, it provides an efficient and effective way to manage this kind of data. The automated procedures for data preparation are INCREDIBLY helpful, as well as the amount of data we have to organize can be overwhelming.

As an individual who has been using SPSS for 1 year, I found the interface to be quite easy to work with.

There is definitely a learning curve with this tool. As someone who did not have a previous background in scripting, I had to teach myself the structure of the program first before delving into any kind of data analysis.

Complex relationships between various variables at an institution.

algorithms menu, easy to use, visualization tools, audits and data preparation nodes

nothing dislikes to me because modeler is the best tool for analytical task

churn, rick credit, forecasting, fraud prevention

Have used this tool for one of our data mining projects in school. The tool provides an easy drag n drop style interface to performdata minimg. It has quite a few models and graphs readily available that can be easily used

The look and feel could be slightly improved to give it a modern look

Used this as part of our data mining projects in school. Used it to get the entropy, accuracy and other details of the data set of our project

SPSS has synatx feature for advanced users, but I like being able to run simple cross-tabs without much to-do.

The recode variable is somewhat cumbersome. Seems like it would be simple to just select top two box as the variable you want.

n/a

Comparing respondent data across respondent type quickly to find differences and target customers/segments.

This software is very friendly and easy to use for business users.

/this sofware dont have course of certification at Ecuador. I dont know it.

customer Segmentation and Clustering.

straightforward and English-like command language and impressively thorough user manual

few old commands not compatible with newer windows versions, and cannot convert to SQL

processing and analyzing survey data, building reports

This software is great for research and shows specific patterns in data analytics.

Not as user friendly for people new to data analytics.

Helps in research studies to analyze lots of data.

Visual type interface. Can handle somewhat bigger data sets than SPSS Base

Somewhat expensive considering other options and overall value. More difficult to use than SPSS base etc., manuals etc not user friendly, desk top version at least does not run to well with even slightly larger data sets and can crash. Claims to be able to handle text analytics and text mining well, but seems to be same overly simplistic approach to text analytics as offered in SPSS Text Analytics for Surveys (Stafs).

Think about what you actually need/what you are going to use this for, there may be other better options for you that address specific needs better, even if this means having 2-3 other software that is specific to your needs. Text analytics capability is over emphasized. This software tries to do too much, and falls short on a lot. Ask users of this VS other software options what they think. Ask for live demo if possible. Know that IBM-SPSS is not known for offering good support.

Data mining, text mining and modeling.

It is easy to use. Very user friendly. Very easy to train staff on.

All around it is a great software. I really do not have anything bad to say about it!

You can use it to modify data in order to be in good condition for modeling and also it have a significant amount of techniques that you can apply to a lot of models.

Integration with open source, ability to preprocess/clean unstructured data prior to applying text analytics. Great for users that have little to no coding with programming languages. Quickly build taxonomy with business rules, generating structured data from unstructred text to be used in prebuilt ML models.

data visualizations (ability to visualize output within) currently using BI tool to visualize

Creating text analytic and predictive analytic solutions

Easy to use compared to SAS and Capability to integrate with other tools

The tool is very expensive and code is very larfe

There are lot of other tools in the market like R programming which produces the same results and easy to maintain

Revenue forecasting at OSBM North Carolina. It gives you more sophisticated models and predictive results. The variable which to is given is more predictive way gives you the better results

SPSS Modeler combines enterprise level analytical power and flexibility with incredible usability. Not only does the tool feature both well known and widely used classifiers and algorithms, but offers the user an array of powerful proprietary options developed by IBM, a world leader in technology continually at the forefront of innovation. The graphical interface with drag-drop functionality enables first time users to quickly produce and test high quality models.

The sollution itself is nearly perfect for what it was designed. Challenges to usability originate in its proprietary regulation, notably the absence of license-free access to enable greater visibility and transparency from the standpoint of the open source community.

Start using it. Any company interested in developing internal analytical infrastructure toward decision making and knowledge discovery on both management and business layers is highly recommended to get connected with SPSS Modeler as soon as possible. It's enterprise ready out of the box. You could have working, tested, and deployed models within a day.

Typically the tool is applied in ETL and modeling to successfully address a variety of business challenges ranging from churn prediction on straightforward statistical classifiers, to the development of pointed marketing and recommendation strategies based on cluster detection. Coupled with IBM Cognos reporting it is easy to create beautiful and informative reports appropriate for consumption at every tier of a given professional infrastructure.

I like that someone who is beginning to use statistics can easily use this product. It has several features, like running descriptives, t-tests, ANOVAs, etc. Even more advanced users can make use of the syntax feature.

I wish SPSS had more advanced features, like Structural Equation Modeling.

It's a great product, and fairly intuitive, especially if you are new to statistics.

I am predominantly using this to analyze research related data.