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Has lot of potential but difficult UI
147 IBM SPSS Modeler Reviews
Overall Review Sentiment for IBM SPSS Modeler
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The best thing about IBM SPSS Modeler is that it is a really powerful statistical tool for data mining. I had to do a clustering for my market research work and spss had different clustering techniques inbuilt and easily deployable. Review collected by and hosted on G2.com.
The only thing l dislike about spss is that it is pretty difficult to be an expert in it since I was a beginner in this statistical tool and the flexibility is also very less. Review collected by and hosted on G2.com.
IBM SPSS Modeler is an impressive and comprehensive data analysis tool that caters to the needs of both novice and experienced data scientists. Its array of features and functionalities make it a powerful choice for those seeking to extract valuable insights from their data. While it's not without its limitations, its strengths far outweigh its weaknesses.
SPSS Modeler boasts an intuitive interface that is relatively easy to navigate, even for users with limited coding experience. This accessibility makes it a great option for users who want to delve into data analysis without getting bogged down by complex programming. Review collected by and hosted on G2.com.
While the interface is user-friendly, mastering some of the more advanced features can still be challenging. In-depth understanding of statistics and machine learning concepts is required to utilize the software to its full potential. Review collected by and hosted on G2.com.
The IBM SPSS Modeler is a leading visual information science and AI arrangement. Exploit open source-based advancement, including R or Python. Enable information researchers of all abilities - automatic and visual. Exploit multi-cloud approach - on-prem, public or confidential clouds. Start little and scale to a big business-wide, represented method.
By taking professional IBM SPSS Modeler, we get access to the accompanying -
Information access and commodities without information size limits.
Programmed information prep, fighting, ETL.
30+ base AI calculations, auto-displaying.
R extensibility/Python prearranging R extensibility/Python prearranging.
R extensibility/Python prearranging. Review collected by and hosted on G2.com.
An estimating approach which makes the solution expensive for projects including various clients.
It's pre overwhelmingly utilised for measurements.
Restricted help for open-source AI libraries.
Costly permitting and upkeep costs.
It can be an asset concentrated for vast and complex informational indexes. Review collected by and hosted on G2.com.
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. Review collected by and hosted on G2.com.
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 Review collected by and hosted on G2.com.
I like the most in IBM SPSS , they way is working to clean the data with the help of syntax and also use for data validation as well as for quick tabulation reports to reviw the while summary of the data. Review collected by and hosted on G2.com.
As of now there is now weak point but when the time of visualiztion of charting there is slightly behind from various tools to analyse the data in many various way according to the clients need. 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.
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. Review collected by and hosted on G2.com.
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. Review collected by and hosted on G2.com.
Because I can create a complete database and in this way describe, analyze, and model data. Review collected by and hosted on G2.com.
What I still don't like is that sometimes I can't edit some graphics with the requirements that journals ask for to publish research. Review collected by and hosted on G2.com.
