IBM SPSS Modelerの評判・口コミ 全18件

What do you dislike about the product?

A little expensive when considering multiple teams.

Complicated user interface; changes are needed in this area.

It can occasionally make data transformation more complicated.

Incompatibility with Java or Python programming languages, SQL management tools, or both.

What do you like best about the product?

IBM SPSS Modeler is a program for statistical analysis and data processing. The software also offers strong data analysis capabilities, enabling you to do the most traditional statistical analyses. Because the SPSS modeler can accept various data types as input, you can handle the work yourself without taking additional steps to modify the data before using it.

The GUI is well-designed and user-friendly; practically anyone can use the program with minimum investment in training.

Escalability allows you to increase your licensing expenditure by your actual needs, from a single annual authorized user to unlimited concurrent users and Big Data and Machine Learning capabilities.

What do you dislike about the product?

1. Complicated GUI, improvements are required in this aspect.
2. A bit pricey when it comes to multiple teams.
3. Limited integration with other languages like Java or Python

What do you like best about the product?

1. Adequate learning resources and extensive documentation.
2. Supports various models and is easy to implement them.
3. Easy integration with other IBM tools like Watson
4. People with less exposure to coding can use it efficiently.

What do you dislike about the product?

A pricing approach which makes the soution costly for projects involving many different users.

What do you like best about the product?

Its user-friendly interface especially in the IBM Pak fro Data envirronment. Advanced statistical features addressing major needs in the analytics journey : from data preparation, analysis and graphical reporting.

What do you dislike about the product?

1)Limited support for open-source machine learning libraries.
2)Expensive licensing and maintenance costs.
3)Can be resource-intensive for large and complex data sets.

What do you like best about the product?

1)User-friendly graphical interface for data preparation, modeling, and deployment.
2)Large selection of data preparation and modeling nodes.
3)Supports multiple data sources and data types.
4)Good documentation and resources for support.
5)Integration with other IBM tools such as Watson Studio and Cognos Analytics.

What do you dislike about the product?

The time file of the executive sometimes gets corrupted, which takes a lot of time else, everything is perfect in this tool.

What do you like best about the product?

1) Without writing a single line of code we can craft the maching learnig model which is the best part.
2) We can drag and drop files which makes our effort work. Simply look for the item we need in our model select it drag it to work area and drop it.
3) A great variety of analytics, from statistical calculation to data validation and predictive statistics which is one of the best in-built function of this tool.
4) It has a beautiful and intuitive new UI.The manual is very easy to understand.

Recommendations to others considering the product:

If you are a beginner and want to learn how to create a model quickly, you should use this tool to make your machine learning model.

What do you dislike about the product?

I really liked the spreadsheet feature but the UI was not that interesting.

What do you like best about the product?

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.