Using historical data, SPSS Modeler lets you confidently predict outcomes and gain an understanding about the relationships hidden in your data. Predictive intelligence enables you to look into the future. Public sector organizations have benefited from using Modeler to predict workforce capacity, proactively respond to public safety issues, manage the student lifecycle, improve classroom performance and address many other operational challenges.
Businesses of all types have found that they can use the predictive intelligence of IBM SPSS Modeler to attract customers, strengthen their loyalty, reduce customer attrition or "churn" more cost effectively, decrease fraud and minimize risk.
#Spss modeler software#
This intelligence allows business decisions to be made based on the data, rather than "gut feel". With SPSS Modeler flows in Watson Studio, you can quickly develop predictive models using business expertise and deploy them into business operations to improve decision making.Designed around the long-established SPSS Modeler client software and the industry-standard CRISP-DM model it uses, the flows interface supports the entire data mining process, from data to better business results.
#Spss modeler professional#
IBM SPSS Modeler Professional is a data mining workbench used to analyze structured data to create predictive intelligence. With LinkedIn, and personal follow-up with the reviewer when necessary.Data mining provides organizations with a clearer view of current conditions and deeper insight into future events by analyzing historical data. We validate each review for authenticity via cross-reference Reviews by company employees or direct competitors.
We monitor all Data Mining reviews to prevent fraudulent reviews and keep review quality high.
See our list of best Data Mining vendors and best Data Science Platforms vendors. IBM SPSS Modeler is most compared with KNIME, IBM Watson Studio, Alteryx, Microsoft BI and Microsoft Azure Machine Learning Studio, whereas IBM SPSS Statistics is most compared with TIBCO Statistica, Weka, MathWorks Matlab, Alteryx and Microsoft Azure Machine Learning Studio. On the other hand, the top reviewer of IBM SPSS Statistics writes "Offers good Bayesian and descriptive statistics". The top reviewer of IBM SPSS Modeler writes "User-friendly, and it gives you a lot of visibility through features like comparing fiscal quarters". IBM SPSS Modeler is rated 8.4, while IBM SPSS Statistics is rated 8.0. IBM SPSS Modeler is ranked 3rd in Data Mining with 5 reviews while IBM SPSS Statistics is ranked 2nd in Data Mining with 17 reviews. I use it for reliability and survival analysis, time series, regression models in different solutions, and different types of solutions."
#Spss modeler how to#
That's the most valuable feature and the main one we use." "They have many existing algorithms that we can use and use effectively to analyze and understand how to put our data to work to improve what we do." "It has the ability to easily change any variable in our research." "The most valuable feature is the user interface because you don't need to write code." "In terms of the features I've found most valuable, I'd say the duration, the correlation, and of course the nonparametric statistics. You don't need to write your own algorithms for predictive analytics. "Most of the product features are good but I particularly like the linear regression analysis." "Some of the most valuable features that we are using with some business models are machine learning algorithms, statistical models given to us by the business, and getting data from the database or text files." "The best part is that they have an algorithm handbook, so you can open it up and understand how it works, and if it is useful, this is very important." "You can find a complete algorithm in the solution and use it.
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