IBM SPSS Modeler Reviews & Product Details

The drag-drop-plugin approach for ETL, data analysis and predictive analytics Review collected by and hosted on G2.com.

1) Slow responses

2) Not optimized data extraction until someone writes their custom sql codes in the data nodes

3) Frequent corruption of data nodes

4) Complex data transformation logics Review collected by and hosted on G2.com.

I thoroughly enjoyed working with IBM SPSS. It was one of the tool I selected to work on for my Master Project. It's so easy to understand and work with as Data Analytics. It gives a nice visual dashboard and also helps in prediction with easy drag and drop tool. completely enjoyed working with! Review collected by and hosted on G2.com.

It was a little bit of unease to arrange the formula. Review collected by and hosted on G2.com.

Very easy & intuitive interface. Easy to understand for novice users.

Interaction is easy, drag, and drop works pretty well.

Data management is fast & easy

Good integration with R language.

A lot better than SAS enterprise tools. Review collected by and hosted on G2.com.

Lack of code control for deeper data exploitation and complex processes. Needs better integration with other languages & software.

Lack of integration with SQL Management tools, java, or python languages. Review collected by and hosted on G2.com.

It's produces very good visualizations of statistic results. Review collected by and hosted on G2.com.

It's requires abit of time to know how to use especially for people with limited knowledge in Statistics. Review collected by and hosted on G2.com.

The first time I introduced to Clementine Software in 2011 I was just fell in love with how easy it is. I really liked the detailed output of the analysis with everything one needs to interpret the result. The visual drag and drop feature where anyone can do any analysis with minimal coding. Review collected by and hosted on G2.com.

I really liked the spreadsheet feature but the UI was not that interesting. Review collected by and hosted on G2.com.

It makes your life easier. Very intuitive and it suits different tasks at the same time. Everything you need to analyze/handle huge amount of data in one single tool Review collected by and hosted on G2.com.

For the tasks concerning my job, nothing. I can't complain about this product. Maybe, at times it is a bit slow but only when it comes to extract tens of millions of record Review collected by and hosted on G2.com.

Tools were very updated which we used to perform data visualization and it's functioning is user friendly. I like visualization perform tools like pie chart ,Bar and scatter plot and histogram . Review collected by and hosted on G2.com.

Descriptive statistics performance should be improved in performing some operations. Review collected by and hosted on G2.com.

Use of use

Easy to deploy models

Really like the forrestor calculator Review collected by and hosted on G2.com.

It sometimes increases the complexities involved the transformation of data Review collected by and hosted on G2.com.

Can get the useful insights and predictions in very less period of time.Drag and Drop options allow us to implement models faster and to evaluate models performance and model fitting in very less period of time. Review collected by and hosted on G2.com.

solutions are expensive to deploy.Can't tune model much .. cant pre-process dataas much as we can perform using numy and pandas. Review collected by and hosted on G2.com.

I used IBM SPSS Modeler when I was writing my final thesis in college. It helped me a lot while creating ANN models. I used it to decide which of the IT projects is suitable to be in the project portfolio. Review collected by and hosted on G2.com.

I don't have anything particular to comment. Review collected by and hosted on G2.com.

Statistics is very simple to calculate by using this Review collected by and hosted on G2.com.

Could include more Programming lanuguages like SAS Review collected by and hosted on G2.com.

Easy to use and availability of abundance of algorithms Review collected by and hosted on G2.com.

Tough to build your own algorithms and implement in business Review collected by and hosted on G2.com.

Deep AI integration

Charts

Text Analytics

Ease to use with Elastic Search Review collected by and hosted on G2.com.

Suggestive approach rather than a prescriptive approach

Integration with existing pipelines in the cloud deployments

Customization Review collected by and hosted on G2.com.

Training ability and testing.

Best modeling Review collected by and hosted on G2.com.

There is nothing to dislike about future ML Review collected by and hosted on G2.com.

It's easy to append and merge heavy CSV format files Review collected by and hosted on G2.com.

Sometimes its may be bags when you using distinct function Review collected by and hosted on G2.com.

Drag and drop nodes to create work flow with streams. Review collected by and hosted on G2.com.

Outdated. Latest ML and DL algorithms are not available. Lacks viz. Review collected by and hosted on G2.com.

ACTUALLY its power of stats and different variation of ML models Review collected by and hosted on G2.com.

I think tge freedom of using open source Review collected by and hosted on G2.com.

It is very easy to use. Easenes of SPSS to read diagrams and logic provides better understanding over complex algorithms. I use it everyday for customer segmentation. Algorithms are more readable and easy to adapt. Also I love SQL pushback of this amazing tool. Review collected by and hosted on G2.com.

It doesnt allow customize some steps. In some cases SQL code gives you better and easy approach. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

You barely need any knowledge of coding to be able to use SPSS Modeler. Just with a little bit of know-how of things, you can already start building prediction and segmentation models. It's super light-weight so most of the models you can run on the laptop instead of having to deploy them on a server. Drag and drop interface, and connecting together the data flow is amazing. Review collected by and hosted on G2.com.

Deploying a stream on a SPSS server is not that straight-forward Review collected by and hosted on G2.com.

It's easy for beginners to use, most of the functions are in the dropdown menu. Review collected by and hosted on G2.com.

The syntax function of SPSS is very inconvenient. If you are an intermediate data analyst, switch to other softwares, e.g., R, Stata. Review collected by and hosted on G2.com.

As a result of our work, we process our raw and raw information that we obtain with this application and make it reportable. The application is one of the best applications in my opinion. The data processing speed is very good, the interface it uses is very good. Reporting screen is working healthy.

Healthy analyzes and reporting of these analyzes work very well. The real purpose of this program already. I am very pleased. Review collected by and hosted on G2.com.

I had no bad process during use and installation. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

It is fast and good capability to run big jobs. Review collected by and hosted on G2.com.

It has old user interface looks like I am working on software from 1960s Review collected by and hosted on G2.com.